Python

Great Reads

Embedding Python in C++. Example using Boost Python and GTK+

by TUKET BO

In this tutorial, we will learn how to embed Python in a C++ application. In particular, we are going to see an example in which we will be able to interact with a GUI (made with GTK+).

Large Collections in Native and Managed Code (VB, C++, C#) - Part I

by Aydin Homay

In this article, I tried to show a real benchmark based on presser test method, for a Big Data collection deals on C++, C#, and VB.NET.

.NET CLR Injection: Modify IL Code during Run-time

by Jerry.Wang

Modify methods' IL codes on runtime even if they have been JIT-compiled, supports release mode / x64 & x86, and variants of .NET versions, from 2.0 to 4.5.

[tut 2] Lina ChatBot - Question Answering using Parsing CKY & Web Scrapping

by The Zakies

Question answer chatbot using natural language parsing and web scrapping

Latest Articles

Embedding Python in C++. Example using Boost Python and GTK+

by TUKET BO

In this tutorial, we will learn how to embed Python in a C++ application. In particular, we are going to see an example in which we will be able to interact with a GUI (made with GTK+).

Large Collections in Native and Managed Code (VB, C++, C#) - Part I

by Aydin Homay

In this article, I tried to show a real benchmark based on presser test method, for a Big Data collection deals on C++, C#, and VB.NET.

.NET CLR Injection: Modify IL Code during Run-time

by Jerry.Wang

Modify methods' IL codes on runtime even if they have been JIT-compiled, supports release mode / x64 & x86, and variants of .NET versions, from 2.0 to 4.5.

[tut 2] Lina ChatBot - Question Answering using Parsing CKY & Web Scrapping

by The Zakies

Question answer chatbot using natural language parsing and web scrapping

All Articles

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Python

Large Collections in Native and Managed Code (VB, C++, C#) - Part I

by Aydin Homay

In this article, I tried to show a real benchmark based on presser test method, for a Big Data collection deals on C++, C#, and VB.NET.

.NET CLR Injection: Modify IL Code during Run-time

by Jerry.Wang

Modify methods' IL codes on runtime even if they have been JIT-compiled, supports release mode / x64 & x86, and variants of .NET versions, from 2.0 to 4.5.

[tut 2] Lina ChatBot - Question Answering using Parsing CKY & Web Scrapping

by The Zakies

Question answer chatbot using natural language parsing and web scrapping

3 Best Practices for GUID data in MongoDB

by Tomasz Naumowicz

Take a closer look at scenarios where working with GUID and UUID in a MongoDB environment becomes tricky. We will make you aware of those configurations and provide a set of best practices to follow.

360 Image Web Gallery with Django and A-Frame

by Cloudster

Deploy a 360 image gallery with Django, Bootstrap, Python, A-Frame, and PostgreSQL

6 Tools from Intel to Speed up Deep Neural Networks

by Stephan Ofosuhene

This article takes a look at a variety of tools available from Intel: Intel® Movidius™ Neural Compute Stick, Intel® Python Distribution for Python™, Intel® Math Kernel DNN Library, Intel® Data Analytics Acceleration Library, Intel Distribution of OpenVINO™ Toolkit

8-Puzzle solving using the A* algorithm using Python and PyGame

by Ghazanfar_Ali

Implementation of A* algorithm using Python and PyGame for solving an 8-Puzzle automatically.

A Basic Introduction to Python Programming Language – Part 1

by Dominic Abraham

This article is to give you a basic introduction to Python programming language with small examples. It will help to start with your first Python program.

A Beginner's Guide to NoSQL

by Software Developer's Journal

This article aims to explore the basic ideas and principles about noSQL databases. noSQL caters to database admins, programmers, coders, web devs, etc.

A DIY Digital Picture Frame in Python

by deangi

A DIY digital picture frame application in Python

A Flock of Lambdas

by Joe Programmer 1

What's going on with lambda expressions, anonymous functions, and all that stuff?

A Note on AWS CLI & SAM CLI & Miscellaneous

by Dr. Song Li

Discussion about AWS CLI & SAM CLI

A Note on CHKCONFIG & SYSTEMD

by Dr. Song Li

A discussion of auto-start services and how to manage and manually start/stop the services

A Note on Python, Virtualenv, VSC Integration, and Miscellaneous

by Dr. Song Li

This is a note on Python, Virtualenv, VSC Integration, and Miscellaneous topics.

A Novice Coder, a Finance Data Application, and the Value of Rapid Prototyping

by Luke Tucker

How I built a minimally viable data application for looking at airline stocks using Exaptive Studio

A Python wrapper for the CodeProject API

by Thomas Daniels

This article describes the working and the usage of my CodeProject API wrapper, written in Python.

A Simple Telnet Server in Python

by fnwinter

A simple Telnet server written using Python

A skinned dialog in Python and MFC

by fnwinter

Help to make a skinned dialog program easily in Python, XML with a UI window DLL.

A Slice of Cucumber

by Zebedee Mason

Visual C++ tests are created from Gherkin DSL feature files using a Python 2.7 script

A Step-by-Step Guide to Building and Distributing a Sleek RAG Pipeline

by Jozu MLOps

In this article, we build a Retrieval-Augmented Generation (RAG) pipeline using KitOps, integrating tools like ChromaDB for embeddings, Llama 3 for language models, and SentenceTransformer for embedding models.

A TCL-TK Form Generator

by Member 4206974

A Tcl -Tk Form Generator that can be used alone or used to provide a fast Form generation for language in which this activity can be complex

Accelerating Python Today

by Intel

Getting Ready for the Cambrian Explosion in Accelerator Architectures

Accelerating PyTorch with Intel® Extension for PyTorch

by Intel

An Open-Source Extension to Boost PyTorch Performance

Access control in Python

by Intel

This access control system application is part of a series of how-to Intel® Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, Intel® IoT Gateway, cloud platforms, APIs, and other technologies.

Accessing Financial Reports in the EDGAR Database

by Matt Scarpino

Obtaining financial records from the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system

Accompanying Text Recognition: Boosting Barcode Scanning with OCR

by Dynamsoft

In this article, we will discuss how to use open-source OCR software Tesseract to recognize the accompanying text from barcode images.

Adding an AI Style Transfer TensorFlow Lite Model to an Android App

by Abdulkader Helwan

In this article, we show you how to set up an Android Studio environment that is suitable for loading and running our .tflite model.

Adding C#-like Property Events to Python

by Marc Clifton

For C# devs, a look at Python. For Python devs, maybe something useful

Adding Object Detection with TensorFlow to a Robotics Project

by Phil Hopley

In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.

Age Estimation With Deep Learning: Acquiring Dataset

by Sergey L. Gladkiy

In this article we’ll talk about the selection and acquisition of the image dataset.

Age Estimation With Deep Learning: Building CNN

by Sergey L. Gladkiy

In this article we’ll build the network we’ve designed using the Keras framework.

Age Estimation With Deep Learning: Getting Started

by Sergey L. Gladkiy

In this article, we'll begin the process of how to use a deep neural network to estimate a person's age from an image.

Age Estimation With Deep Learning: Training CNN

by Sergey L. Gladkiy

In this article we train the CNN for age estimation.

Age Estimation With Deep Learning: Using CNN to Predict Age

by Sergey L. Gladkiy

In this article we will explain how to use the pre-trained CNN for estimating a person’s age from an image.

AI Anomaly Detection on Bitcoin Time Series Data

by Sergio Virahonda

In this article we talk about anomaly detection on time series data.

AI Face Detection on Raspberry Pi

by Sergey L. Gladkiy

In this article we’ll run our face detector on a Raspberry Pi device.

AI Face Recognition with a Pre-Trained Model

by Arnaldo P. Castaño

In this article we’ll adapt the VGG16 model.

AI Forecasting and Anomaly Detection on Streaming Bitcoin Prices

by Sergio Virahonda

In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.

AI Forecasting on Bitcoin Time Series Data

by Sergio Virahonda

In the next article, we are going to discuss forecasting on Bitcoin time series.

AI Hazard Detection on Android with Tensorflow Lite

by Joel Ivory Johnson

This article series will show readers how to create a real-time AI hazard detector using an Android device.

AI Image Classification on iOS with ResNet

by Jarek Szczegielniak

Having converted a ResNet model to the Core ML format in the previous article, in this article we’ll now use it in a simple iOS application.

AI Inference Software Fundamentals: Getting Started with Optical Character Recognition

by Raymond_Lo

In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.

AI Language Translation With Multiple Languages

by Martin_Rupp

In this article, we’ll train and test our translation models on additional languages.

AI on the Edge: Face Mask Detection

by Sergio Virahonda

Different approaches to create a face mask detector

AI Queue Length Detection: Counting the Number of People in an Area

by MehreenTahir

In this article, we will train a deep learning model to detect and count the number of people in a given area.

AI Queue Length Detection: Object Detection in Images Using YOLO

by MehreenTahir

In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.

AI Queue Length Detection: Object Detection in Video Using YOLO

by MehreenTahir

In this we’ll see if we can implement YOLO on video feeds for queue length detection.

AI Queue Length Detection: Object detection using Keras

by MehreenTahir

This is the first in an article series where we’re going to show how to make an AI queue length detector.

AI Queue Length Detection: R-CNN for Custom Object Detection Using Keras

by MehreenTahir

In this article, we’ll explore some other algorithms used for object detection and will learn to implement them for custom object detection.

AI Social Distancing Detector: Calculating the Center Point of Detected People

by Dawid Borycki

In this article, we'll calculate the center of each detected bounding box, which will serve as a base for calculating distance.

AI Social Distancing Detector: Detecting People in a Video Sequence

by Dawid Borycki

In this article we will perform object detection on the frames from the test data sets including video sequence stored in the video file.

AI Social Distancing Detector: Finding People That Are Too Close

by Dawid Borycki

In this article, we will use those centers to estimate distances between people and indicate people that are too close.

AI Social Distancing Detector: Improving People Detection With Yolo Object Detection

by Dawid Borycki

In this last article of the series, we improve our Python console application for AI-powered social distancing detection.

AI Social Distancing Detector: Object Detection in Video Frames

by Dawid Borycki

In this article, we continue learning how to use AI to build a social distancing detector.

AI Social Distancing Detector: Object Detection With TensorFlow and MobileNet

by Dawid Borycki

In this article, we will use drawing functions to depict detected objects.

AI Social Distancing Detector: Using OpenCV to Annotate Detected Objects

by Dawid Borycki

In this article, we will learn how to add annotations to images.

AI Social Distancing Detector: Working With Images in OpenCV

by Dawid Borycki

In this article series, we'll look at how to use AI and deep learning on video frames to ensure people are maintaining adequate social distancing in crowds.

Alerting the Driver with AI Hazard Detection on Android

by Joel Ivory Johnson

In this next entry in the AI Hazard Detection on Android series, we will look at how we can avoid unnecessarily warning the user, and how we can quickly alert them.

Algorithmic approaches to solving the Pascal's Triangle and the Newton's Binomial

by José Cintra

Some suggestions of algorithms for solving the Pascal Triangle, addressing iterative, recursive and functional paradigms

An Interactive Environment for Advanced Mathematics

by dawright

Combine a .NET math library and a .NET dynamic programming language to create a Matlab/Mathematica-like interactive environment for math and data analysis.

An Interesting Problem in the History of Probability

by Amarnath S

A historical problem in Probability with apparent and correct solutions, along with its Python simulation

An Introduction to Basic Algorithms of Machine Learning (Part 4)

by I Love Code

An Introduction to Logistic Regression

An Introduction To Python Testing Tools

by Emad Bin Abid

In this article we provide a good understanding of basic Python testing tools.

An Introduction to Support Vector Machine (SVM) and the Simplified SMO Algorithm

by Ngọc Minh Trần

An introduction to the SVM and the simplified SMO algorithm

An Optimal Wagner-Fischer Algorithm For Approximate Strings Matching In Python And NumPy

by Arthur V. Ratz

Compute the Levenshtein distance of literal strings effectively by using the Wagner-Fischer (two matrix rows-based) algorithm.

Analyzing 200 years of climate data using SAP HANA and Amazon SageMaker

by Allister Beharry

Using data from the Global Historical Climatology Network project we can crunch, analyze, and make predictions using gigabytes of numeric climate data collected over two centuries with the SAP HANA in-memory database and Amazon SageMaker hosted Jupyter notebooks.

Analyzing C/C++ matrix in the gdb debugger with Python and Numpy

by M.Mo

Using the gdb debugger's Python API to analyze and visualize C/C++ arrays in a debugging session.

Analyzing Python with the AST Package

by Matt Scarpino

This article explains how to analyze Python code using the open-source ast package

Analyzing Twitch Channel Viewership with Python and Intel

by Jeffrey T. Fritz

Jeff pulls together what he's learned about Python and Jupyter notebooks to do some analysis on the viewership of his Twitch channel. What factors can he alter to increase viewership?

Android Tensorflow Lite Best Practices and Optimizations

by Joel Ivory Johnson

In this article we will consider the ways in which the network could be further optimized.

ANNdotNET v1.0 Has Been Released

by Bahrudin Hrnjica

ANNdotNET v1.0 has been released

anonympy - Data Anonymization with Python

by Shakhansho

An overview of newly written package anonympy and a walk-through some of its methods and functionality

Ant Colony Optimization to solve a classic Asymmetric Travelling Sales Man Problem

by Pravin baskaran

A python implementation of an ant colony optimization algorithm with offline pheromone update to solve ry48p, an asymmetric travelling sales man problem

Antivirus Part--2

by VISWESWARAN1998

An opensource antivirus engine which uses Yara, Locality Sensitive Hashing to detect malware

API Created in Flask

by WasiUllah Khan

Created an API for my DropBox file uploader using Flask

Apple-tron an AI for Farmers

by Prilvesh K

Apple-tron, a quick AI for small to medium enterprise farmers, that applies stickers to fruits

Approaches to Generating Deep Fakes

by Sergio Virahonda

In this article I’ll explain the different options we can choose from to create deep fakes.

Arm-Powered Driver Distraction Detection

by Sergey L. Gladkiy

How to create a driver distraction detector and how to run it on an Arm-powered device like a Raspberry Pi or Jetson Nano

As-Is Software Architecture

by Zebedee Mason

Software for automatically constructing architecture diagrams and metrics from source code and .NET assemblies is presented. Examples for Visual C++, Python, the Linux kernel, Boost and .NET are discussed.

Audio Chat for Quite Good Privacy (AC4QGP)

by Clark Fieseln

Chat using "enhanced" end-to-end-encryption and modulation of audio signal in isolated device, ensuring privacy, anonymity and cybersecurity.

Audio Steganography for Pretty Good Concealing (AS4PGC)

by Clark Fieseln

Compress, encrypt and hide a secret file inside an audio file (MP3, WAV, OGG, FLAC, ..)

Automating MLOps Deployment to Kubernetes

by Sergio Virahonda

In this article, we develop a semi-automated deployment-to-production script, which will complete our project.

Automating the Web with Selenium and Python

by WasiUllah Khan

Automated Pakwheels parsing with Selenium and Python

Azure Arc Enabled Servers Part 3: Setting up Security, Sentinel, and Runbooks

by Florian Rappl

In this article we see how to set up security, Sentinel, and runbooks.

Azure Arc Machine Learning Part 2: Training Machine Learning Models On-Premises Using Azure Arc-Enabled Machine Learning

by MehreenTahir

In this article, we learn how to train a machine learning (ML) model on an Arc-enabled Kubernetes cluster.

Azure Arc Machine Learning Part 3: Inference Anywhere with Azure Arc-Enabled Machine Learning

by MehreenTahir

In this article we learn to deploy our model and enable inference anywhere with Azure Arc-enabled ML.

Azure Synapse Analytics for SQL Server Gurus Part Two: Bringing in Data and Creating an ML Model

by David Norton

In this article we explore how to get data into Azure Synapse Analytics and build a machine learning model.

Basic Deep Learning using Python+Keras

by Jesús Utrera

First article of a series of articles introducing deep learning coding in Python and Keras framework

Basic Deep Learning using Python+Keras. Chapter 2

by Jesús Utrera

Second article of a series of articles introducing deep learning coding in Python and Keras framework

Benchmarking Intel® Extension for Scikit-learn: How Much Faster Is It?

by Intel

This article will explore and compare the performance of the Intel Extension for Scikit-learn and benchmark it against the stock Scikit-learn library.

Bernoulli Factory Algorithms

by Peter Occil

Algorithms to turn biased "coin flips" into biased "coin flips", and how to code them.

Best Practices for Leveraging Predix Analytics Services

by Sujoy Basu

Here are few things to keep in mind when creating your analytics using Predix Analytics Services, starting with prepping the data itself through deploying the analytic in a production environment.

Big Data

by Mahsa Hassankashi

It is almost everything about big data.

BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists

by Intel

This article provides an overview of recent enhancements available in the BigDL 0.1.0 release (as well as in the upcoming 0.1.1 release)

Brief Introduction of a Continuous SQL-stream Sending and Processing System (Part 1: SQLite)

by Yuancai (Charlie) Ye

Application of SocketPro onto various databases for continuous inline request/result batching and real-time stream processing with bi-directional asynchronous data transferring

Brief Introduction of SocketPro High Performance and Scalable Persistent Message Queue

by Yuancai (Charlie) Ye

Continuous in-line request/result batching, real-time stream sending/processing, asynchronous data transferring and parallel computation for best performance and scalability

Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit

by Ragesh_Hajela

In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.

Build a Raspberry Pi powersupply with Digispark Attiny85

by Andrew Lai

Power on, safe shutdown and power cut-off for Raspberry Pi

Build Secure Kubeflow Pipelines on Microsoft Azure

by Intel

Leverage Intel® Software Guard Extensions on Virtual Machines to Deploy Secure, Accelerated Machine Learning Pipelines

Build the Forest in Python Series: AVL Tree

by Shun Huang

Use Python to build AVL Tree

Build the Forest in Python Series: AVL Tree vs Red-Black Tree

by Shun Huang

Build a Python Metrics library to compare the AVL tree and the Red-Black Tree

Build the Forest in Python Series: Binary Search Tree

by Shun Huang

Use Python to build a Binary Search Tree

Build the Forest in Python Series: Binary Tree Traversal

by Shun Huang

Use Python to implement Binary Search Tree Traversals

Build the Forest in Python Series: Double-Threaded Binary Search Tree

by Shun Huang

Use Python to build Double-Threaded Binary Search Trees

Build the Forest in Python Series: Red-Black Tree

by Shun Huang

Use Python to build Red-Black Tree

Build the Forest in Python Series: Single-Threaded Binary Search Trees

by Shun Huang

Use Python to build Threaded Binary Search Trees

Build Your Own Smart Auto Response Bot with Python, Flask, Twilio SMS and the CleverBot API

by Twilio, Inc.

Using the Twilio and CleverBot APIs you will make a Flask app that texts CleverBot, which is an AI you can chat with that learns from its conversations.

Building a code instrumentation library with Python and ZeroMQ

by Software Developer's Journal

Building a Core ML Pipeline for the iOS Vision Framework

by Jarek Szczegielniak

In this article we’ll create a Core ML pipeline to be our end-to-end model.

Building a Deep Learning Environment in Python with Intel and Anaconda

by Intel

In this article, we’ll explore how to create a DL environment with optimized Intel packages.

Building a Docker Container to Train Deep Fake Autoencoders

by Sergio Virahonda

In the next article, we talked about Google AI Platform and how to train your models there with some help from Docker containers.

Building a Mobile Style Transfer CycleGAN with Keras

by Abdulkader Helwan

In this article, we implement a CycleGAN from scratch.

Building a search engine with Python, Tornado and Strus

by Patrick P. Frey

This tutorial based on a docker image will guide through the development of a search engine service based on Strus and its Python Bindings within the Tornado web-framework.

Building a Style Transfer CycleGAN from Scratch

by Abdulkader Helwan

In this article, we implement a CycleGAN with a residual-based generator.

Building AI Language Translation with TensorFlow and Keras

by Martin_Rupp

In this article we’ll build our AI language translation system.

Building an AI Image Classification Model for iOS Using Create ML and Core ML

by Jarek Szczegielniak

In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.

Building an MLOps Model API

by Sergio Virahonda

In this article we build the model API to support the prediction service.

Building an Object Detection iOS App with YOLO Core ML Model

by Jarek Szczegielniak

In this last article in this series, we’ll extend the application to use our YOLO v2 model for object detection.

Building and Training Deep Fake Autoencoders

by Sergio Virahonda

In this article we'll build and train our models with them.

Building Applications for Google Glass

by Android on Intel

This article discusses design considerations for building apps for Glass and how to build hybrid glass applications using the Mirror API and GDK.

Building Microsoft Teams Apps with Serverless Python Part 1: Building a Personal Tab Teams App with Python and Azure Functions

by Marcelo Ricardo de Oliveira

In this article we demonstrate how to create a serverless Azure Functions web app in Python.

Building Microsoft Teams Apps with Serverless Python Part 2: Building Channel and Group Tabs with Python and Azure Functions

by Marcelo Ricardo de Oliveira

In this article we explore how to build Channel and Group Tabs and Tabs with Adaptive Cards using Python and Azure Functions.

Building Microsoft Teams Apps with Serverless Python Part 3: Building Tabs with Adaptive Cards Using Python and Azure Functions

by Marcelo Ricardo de Oliveira

This article should demonstrate how to create a serverless Azure Functions web app in Python.

Building Native Windows on Arm Apps with Python

by Dawid Borycki

This article demonstrates the convenience of using native Arm Python 3.11 on Arm-powered devices to experience up to a threefold performance boost over using it in emulation mode.

Building Recommendation Systems using Python

by MehreenTahir

This article will help you build different types of basic recommendation systems using Python.

Building User Interfaces for Robotics with VTK - Part 1

by AD Colab Group

This set of tutorials demonstrate how to use the Visualization ToolKit (VTK) to develop robotics user interfaces.

Building User Interfaces for Robotics with VTK - Part 2a

by AD Colab Group

In the 2nd article in this thread, we start building out the 3D environment for the robots using the Visualization ToolKit (VTK).

Building User Interfaces for Robotics with VTK - Part 2b

by AD Colab Group

The continuation of the 2nd article, we look at the 3D environment and some more involved Visualization ToolKit (VTK) topics.

C or C++ Console Program Code Generator

by Bill_Hallahan

The following program is a code generator that generates a C program or a C++ program that has auto-generated parsing code.

C# ConceptNetUtils (CNU) Version 2

by JoeSox

A C# dynamic link library that runs ConceptNet: A Semantic Network of Common Sense

Calculating the Nth Prime Number

by Andy Bantly

How to calculate the Nth prime number

Calculating the Number PI Through Infinite Sequences

by José Cintra

Iterative algorithms for computing approximations to the number PI through infinite series using double and arbitrary precision

Calling Python code from Excel with ExcelPython

by Eric Reynolds

ExcelPython is a lightweight COM library which enables you to call Python code and manipulate Python objects from Excel VBA.

Calling Python from Java for Android using CLE and SL4A

by li9705

Calling Python from Java for Android using CLE and SL4A

Can QR Decomposition Be Actually Faster? Schwarz-Rutishauser Algorithm

by Arthur V. Ratz

Optimizing the performance of the large-sized matrices QR factorization and eigendecomposition, using Schwarz-Rutishauser algorithm

CaptureManager SDK - Capturing, Recording and Streaming Video and Audio from Web-Cams

by Evgeny Pereguda

This article presents my project for capturing of video and audio sources on Windows OS by Microsoft Media Foundation.

Capturing Images from Camera using Python and DirectShow

by Andreask84

In this article, I propose a simple application written entirely in Python that allows you to capture images from a camera using DirectShow and to perform simple processing on them using OpenCV.

Cartpole: The “Hello World” of Reinforcement Learning

by philoxenic

In this article, you will be up and running, and will have done your first piece of reinforcement learning.

Cartpole: Tweaking the Options

by philoxenic

In this article, we will see what’s going on behind the scenes and what options are available for changing the reinforcement learning.

Cat or Not - An Image Classifier using Python and Keras

by Ryan Peden

A code-first introduction to neural networks

Cellular Development with Telit GSM Module and Python

by jonbowen234

This article will provide some background to help understand how to get started developing Python scripts for the Telit family of devices.

Cheetah Optimizer - Python Implementation

by Ujwal Watgule

The Cheetah Optimizer is a nature-inspired metaheuristic algorithm designed to tackle complex optimization problems across multiple dimensions.

Choosing Hardware for AI Traffic Speed Detection

by Allister Beharry

In this article, we select hardware components for our AI/Pi-based solution and assemble them into a functional system.

Cleaning Data in a Pandas DataFrame

by Glenn Prince

In this fifth part of the Data Cleaning with Python and Pandas series, we take one last pass to clean up the dataset before reshaping.

Cloud-based Predictive Analytics with Azure Machine Learning

by Fernando de Oliveira [MCP]

What if you could predict data using a cloud-based environment? You can do it with Azure Machine Learning.

CodAI -Programming language detection AI

by Rupesh Sreeraman

Programming language Detection AI

CodeProject.AI Module creation: A full walkthrough in Python

by Chris Maunder

The full walkthrough of a bare bones module for CodeProject.AI using Python

Coding Interview with Fibonacci Numbers: Down the Rabbit Hole

by Member 4201813

Imaginary coding interview using Fibonacci numbers as single showcase for a surprising variety of programmers' skills.

Color Topics for Programmers

by Peter Occil

Discusses color spaces, color generation, and other general color topics commonly faced by programmers

Combining Multiple Datasets in Pandas

by Glenn Prince

In this fourth part of the Data Cleaning with Python and Pandas series, we look at a few of the simpler methods for combining data

Command Line Tool and C# Class for Uploading Videos on Vimeo

by Andreask84

A command line tool and a simple C# class with a complete set of functions to easily upload videos on Vimeo

Competing on kaggle.com for the First Time

by Philipp_Engelmann

Competing on kaggle.com for the first time

Compiling MuPDF DLL to Render and Edit PDF Documents

by wmjordan

MuPDF is an open-sourced, high performance PDF rendering and editing engine written in C. This article describes how to compile its source code to a DLL for use in other programming languages.

Compiling Python for Windows Phone 8

by li9705

This article talks about how to compile Python source code on WP8, the changes made on the source code, and an example using Python in a WP8 native app.

Completing the AI Traffic Speed Detector

by Allister Beharry

In this we discuss improvements we can make to the software in terms of performance or accuracy. We also compare our homebrew open-source system to commercial vehicle speed detection systems.

Computing Normal Probabilities in IronPython

by John D. Cook

Code for computing normal probabilities and a discussion of what does and does work in IronPython

Conditional filtering in SQLAlchemy and Python

by DiponRoy

Conditional filter query example in SQLAlchemy and Python

Configuration Files in Python

by Akhil Mittal

Create a config file; add, update and delete a configuration, and read a configuration in a Python app

Connecting an Intel® NUC to the Google Cloud Platform Service

by Intel

This paper will show you how to use an Intel® NUC to connect sensors on an Arduino 101 (branded Genuino 101 outside the U.S.) to the Google Cloud Platform

Connecting to AT&T M2X IoT using MQTT

by Intel

Connecting to AT&T M2X IoT using MQTT

Connecting to Spokes' REST API in Python

by Plantronics

Connecting to Spokes' REST API in Python.

Continuous Training in an MLOps Pipeline

by Sergio Virahonda

In this article, we’ll deep-dive into the Continuous Training code.

Control NAO Using Kinect

by Tareq_Gamal

How to Control NAOqi-Based Robots like NAO, Pepper using Kinect

Converting a Style Transfer Model from TensorFlow to TensorFlow Lite

by Abdulkader Helwan

In this project, our aim is to run a mobile Image-to-Image translation model on the Android platform.

Converting an ONNX Object Detection Model to iOS Core ML

by Jarek Szczegielniak

In this series, we’ll use a pretrained model to create an iOS application that will detect multiple persons and objects in a live camera feed rather than in a static picture.

Converting ONNX Image Classification Models to Core ML

by Jarek Szczegielniak

In this article we'll convert a ResNet model to the Core ML format.

Converting YOLOv5 PyTorch Model Weights to TensorFlow Lite Format

by Sergio Virahonda

In this article we test a face mask detector on a regular computer.

Correcting Missing Data in Pandas

by Glenn Prince

In this third part of the Data Cleaning with Python and Pandas series, we delve into some of the problems the dataset may contain.

COVID-19 Diagnosis Results with Deep Learning and ResNet50

by Abdulkader Helwan

In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

by Abdulkader Helwan

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

COVID-19 Diagnosis with Deep Learning

by Abdulkader Helwan

In this article, we introduce transfer learning and ResNet50.

Crash Detection Using the Accelerometer

by Joel Ivory Johnson

In the next entry of the AI Hazard Detection on Android series, we will look at crash detection and notifications.

CrashRptEx - An Extension to the CrashRpt Crash Reporting System

by Andreas Schoenle

How to use CrashRptEx, to avoid some of the pitfalls of crash reporting in MFC apps or if you want the ability to continue your application after a crash

Create a DLL for Both VBA and Python Users

by Wayne Jin

Extend the function of Microsoft Office and Python

Create a Dockerized Python Fiddle Web App

by Marc Clifton

Using C#, a simple web server, and Docker, I show you how to create a "Fiddle" website to run Python (or other script languages)

Create Your First Machine Learning Model to Filter Spam

by sjb_strat

Create a Spam Filter Using Machine Learning

Create Your First Neural Network with Python and TensorFlow

by Intel

In this article, we’ll show you how to create a very simple CNN for image classification from scratch.

Creating a Chatbot using Amazon Lex Service

by Akhil Mittal

Creating a real-time chatbot using Amazon Lex Services and deploying the bot over Facebook messenger

Creating a Face Database for Edge AI Facial Recognition

by Sergey L. Gladkiy

In this article we’ll explain how to create a simple database for face recognition.

Creating a LLM Chat Module for CodeProject.AI Server

by Matthew Dennis

Create a ChatGPT-like AI module for CodeProject.AI Server that handles a long-running process.

Creating a Python Cloud-Native Webapp, Part 1: Deploying to Azure App Service

by Glenn Prince

In this article we’ll create a more traditional web application using the Flash library and Azure WebApp.

Creating a Python Cloud-Native Webapp, Part 2: Adding an Azure Cosmos DB Database

by Glenn Prince

In this article, we’ll build on what we started by adding an Azure Cosmos DB database to our Flask web app.

Creating a Turing Machine in Python – Part 2

by Philipp_Engelmann

How to create a Turing machine in Python - Part 2

Creating a Turing Machine in Rust

by Philipp_Engelmann

In this series, I am going to rewrite the Turing machine I wrote in Creating a Turing machine in Python.

Creating a YOLO Core ML Object Detector with Decoding Logic

by Jarek Szczegielniak

In this article we are ready to include detection decoding directly in the Core ML model.

Creating an Incident Management Bot with MSAL, Graph API, and Python

by Melanie Hall

In this article we will create an app that can create a new Teams Channel and invite stakeholders to provide updates to assist with incident management.

Creating and Training Custom ML Model to Read Sales Receipts Using AI-Powered Azure Form Recognizer

by Shweta Lodha

This article walks you through the steps required to create a custom ML model, train it and then use the same model to analyze the sales receipt.

Creating Docker Containers for AI and Machine Learning

by Jarek Szczegielniak

In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.

Creating User Interfaces in Python using PySimpleGUI

by Azim Zahir

This article demonstrates creating user-interfaces using PySimpleGUI.

Creating Your Own Freaking Awesome Programming Language

by RobLazarus

Review about the Creating Your Own Freaking Awesome Programming Language Book

Credit Risk Classification: Faster Machine Learning with Intel Optimized Packages

by Intel

This paper explains the importance of using Intel® Performance Libraries to solve a machine-learning problem such as credit risk classification.

CRUD Operations in Python with SQL Database

by MukeshKumarTech

This practical demonstration will help you to understand how to implement CRUD (CREATE, READ, UPDATE and DELETE) operations functionality in Python with SQL database.

Custom AI Face Recognition With Keras and CNN

by Arnaldo P. Castaño

In this article we’ll put together our CNN and train it for face recognition.

Custom Model Object Detection with OpenCV and ImageAI

by Glenn Prince

This article gives you a good starting point for your own object detection projects.

Customize payment solutions with the new, streamlined API from Authorize.Net

by Authorize.Net

The Authorize.Net API makes it easy to create, capture, refund and void secure payment transactions. Offering both XML or JSON, it works well with Ruby, Node.js, Python, and many other languages. The streamlined API also has the bandwidth to accept payments in every environment.

Daily Update: Saving the web a day at a time

by NimDriz

A site that helps users keep up to date with whatever content they enjoy on the web.

DashCam ML Model Training

by Qualcomm Technologies, Inc.

The main objective of this project is to develop a Machine Learning model that detects the objects on the road like pedestrians, cars, motorbikes, bicycles, buses, etc.

Data Cache Synchronization using AWS SNS and Lambda

by Peter Carrasco

This article describes a pub-sub model using AWS Lamdba along with SNS to keep your AWS-hosted RDMB system of record and cache in sync.

Data Clustering Simulation in Python and PyGame

by Ghazanfar_Ali

Clustering of 2D data Using Python and simulation in PyGame

Data Science - Journey through Life Cycles. Part 1

by @Abdul Azeez Thekkekandy

This article explores Data Science lifecycles - Business Understanding, Data Understanding and Data Preparation

Data Science is an Ocean of Information—Stay Focused!

by Intel

In this article, we discuss our teachings about data science in a series of steps so that any product manager or business manager interested in exploring this science will be able take their first step toward becoming a data scientist or at least develop a deeper understanding of this science.

Data Visualization using Matplotlib

by Azim Zahir

This article demonstrates Data Visualization using Matplotlib library of Python.

Data Visualization using Seaborn and Pandas

by Glenn Prince

In this seventh part of the Data Cleaning with Python and Pandas series, we can explore our visualization options.

Data-Driven Process Schedule

by li9705

A new data-driven programming idea and method is proposed and discussed here, whose purpose is to improve programming flexibility, constructivity, and sharing

Debugging AI Code Running in a Docker Container

by Jarek Szczegielniak

In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.

Decision Tree - Credit Card Fraud Detection

by Ujwal Watgule

Credit card fraud detection is an important application of machine learning techniques.

Decoding a Core ML YOLO Object Detector

by Jarek Szczegielniak

In this article, we will decode the Core ML YOLO Model by transforming an array of abstract numbers to a human-readable form.

Decoding a YOLO Core ML Object Detector Using Array Operations

by Jarek Szczegielniak

In the next article, we’ll do the same but with array operations. This will allow us to include the decoding logic directly in the model.

Deep Learning

by Mahsa Hassankashi

Deep learning convolutional neural network by tensorflow python, complete and easy understanding

Deep Learning in C#: Coin Recognition in Keras.NET, Part II

by Arnaldo P. Castaño

In this article we will examine the CNN we implemented for coin recognition using Keras.NET.

Deep Learning Text-to-Speech

by Arnaldo P. Castaño

In this article we focus on the Text-to-Speech with the use of Deep Learning.

Deep Learning using Python + Keras (Chapter 3): ResNet

by Jesús Utrera

Third article of a series of articles introducing deep learning coding in Python and Keras framework

DeepFaceLab: A Pre-Packaged Alternative DIY Deep Fakes

by Sergio Virahonda

In this article we’ll explore DeepFaceLab as an alternative to our last approach.

Dependency Analysis with Doxygen

by Zebedee Mason

Perform dependency analysis by using Doxygen to parse source code and produce a report

Deploy AI Inference with OpenVINO™ and Kubernetes

by Dariusz Trawinski

In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.

Deploy Node.js Application Running on Microsoft IIS 10 To Docker's Windows Server Core 2016 Containers

by Arthur V. Ratz

In this brief article, we will demonstrate how to deploy a Node.js application and run it on Docker's Windows Server Core 2016 Containers

Deploying AI Docker Containers to the Cloud

by Jarek Szczegielniak

In this article, we publish our NLP API service to Azure using Azure Container Instances.

Deploying BigDL on Microsoft’s Azure Data Science Virtual Machine

by Intel

To make it easier to deploy BigDL, we created a “Deploy to Azure” button on top of the Linux (Ubuntu) edition of the Data Science Virtual Machine (DSVM)

Deploying Models at Scale on Azure - Part 1: Deploying XGBoost Models

by Jarek Szczegielniak

How to publish XGBoost and PyTorch models using Azure App Service, Flask, FastAPI, and machine learning online endpoints

Deploying Models at Scale on Azure - Part 2: Deploying and Scaling PyTorch Models

by Jarek Szczegielniak

How to deploy and scale PyTorch models

Deploying Models at Scale on Azure - Part 3: Deploying and Scaling TensorFlow Models

by Jarek Szczegielniak

How to publish a TensorFlow model

Deploying to Azure Arc via Azure Application Services Part 2: Running Azure Functions Anywhere

by Ben Hall (failingfast.io)

In this article, we’ll create Azure Functions in Java or Python, show that deploying them to our Arc-hosted Kubernetes cluster is just as easy as deploying functions directly to Azure, and demonstrate that our Azure Functions are, in fact, running in the cloud, but not on Azure itself.

Deploying YOLOv5 Model on Raspberry Pi with Coral USB Accelerator

by Sergio Virahonda

In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.

Detect E-mail Spam Using Python

by Noman BD

Power of Naive Bayes Classification

Detecting Pests Using Pre-Trained SSD Models

by Sergey L. Gladkiy

In the next article, we’ll use a pre-trained DNN to detect pests on video.

Detecting Pests with a Motion Detector and Trained DNN

by Sergey L. Gladkiy

In this article, we’ll show you how to develop a simple motion detector and combine it with the trained DNN model to detect moose on video.

Detecting Unusual Pests

by Sergey L. Gladkiy

In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.

Developing C++ Android NDK Games using Linderdaum Engine on Intel® Architecture

by Android on Intel

Linderdaum Engine is an open source, purely object-oriented 3D gaming engine for Microsoft Windows, Google Android, and BlackBerry OS 10 written in C++.

Developing Visual Retail Solutions Using Intel® Hardware and Software

by Intel

The Retail Workshop: Hands on Learning with Intel®-based Retail Solutions

Differences between compiled and Interpreted Languages

by Manikandan10

The article describles the differences between compiled and interpreted languages

Digital Footprint Mapper - DFMAP

by Mayank Pal Singh

Know you digital presence / cyber presence / internet presence using DFMAP

Discovering Python step by step - Using Python Queues - 03 - Detecting Queue Completion Properly

by daubrecq

How to detect queue completion from other threads properly when using Python queues.

Discovering Tensorflow

by Abhishek Nandy

Unravelling Tensorflow as Never done before...breaking simple things

Discrete Fourier Transform For Frequency Analysis

by pi19404

In this article we will look at the basics of Discrete Fourier Transform and how it can be used as tool for frequency analysis of a signal

Distributed, Docker-ized Deep Learning with Intel® Nervana™ technology, neon, and Pachyderm

by Intel

In this post we show how to set up a production-ready machine learning workflow with Intel® Nervana™ technology, neon, and Pachyderm.

Distributing a search engine index with Strus

by Patrick P. Frey

Article about implications of scalability requirements on full-text search engines and how Strus meets these requirements.

DIY Mars Probe: AWS Greengrass IoT v2 with a Raspberry Pi (Part 1)

by Scott Pletcher

In this two-part series, you’ll learn how to turn a Raspberry Pi into a flexible and powerful Internet-of-Things device with AWS Greengrass v2, ultimately creating an off-grid remote-tasked data and image collection device.

DIY Mars Probe: AWS Greengrass IoT v2 with a Raspberry Pi (Part 2)

by Scott Pletcher

Django and Tornado: Python Web Frameworks

by Software Developer's Journal

Learn about Django and Tornado

Django Development on Android using Pydroid

by Azim Zahir

Creating a Django app using Pydroid Android app

Dockerize A Simple Web-Application Created By Using Python, Flask and PostgreSQL

by Arthur V. Ratz

Create a Python web-app using Flask and PostgreSQL server, and run it in Docker

Dockerized AI on Large Models With NLP and Transformers

by Jarek Szczegielniak

In this article we run an inference model for NLP using models persisted on a Docker volume.

Dog Mood Detector with Google Cloud and Arm-based Raspberry Pi

by Nicholas_Larsen

In this article we'll demonstrate using Google AI Cloud to create a model for categorizing different dog sounds, then run the model on an Arm-based Raspberry Pi to listen for dog sounds and identify them.

Down the Rabbit Hole with Array of Generics

by Marc Clifton

An Alice in Wonderland journey of generics, inverting object oriented programming, and generic type dispatching

Downloading Podcasts from Changelog

by Philipp_Engelmann

Due to busy lives in the 21st century, finding time to learn about new topics and keeping up to date with technological trends becomes more and more difficult.

Easily Optimize Deep Learning with 8-Bit Quantization

by Stephanie_Maluso

In this article we look at how to use the Neural Network Compression Framework of the OpenVINOTM toolkit for 8-bit quantization in PyTorch

Effective Shell Part 6: Everything You Don't Need To Know About Job Control

by Dave Kerr

Everything you don't need to know about job control

Eliminating Pests with a Raspberry Pi

by Sergey L. Gladkiy

In this article, we’ll test our detection algorithm on a Raspberry Pi 3 device and create the "scare pests away" part of our pest eliminator by playing a loud sound.

Embed Python in MFC Dialog

by Sharjith

Demo to show use of Python Interpreter to evaluate methematical expressions

Embedded IoT Databases with Actian Zen and Python

by Ryan Peden

We’re going to look at how to use an embedded database – Actian Zen – to store and process data on a Raspberry Pi.

Embedding IronPython in a C# Application

by James Wucher

Examples of embedding the Iron Python engine in a C# form application.

Embedding Python Applications within Gidon C# Plugin Framework

by Nick Polyak

How to display Python plots within a C# program

Embedding Python program in a C/C++ code

by arnavguddu

How to Embed Python interpreter in your C/C++ code and dynamically change the code path of compiled native code.

Enhancing Outlier Detection with Intel® Data Analytics Acceleration Library

by Intel

This article describes different methods to detect outliers in the data and how the Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize outlier detection when running it on systems equipped with Intel® Xeon® processors.

Euclidean Division of Polynomials

by InvisibleMedia

This article describes how to divide two polynomials and shows the source code to calculate this division. There is also code to add, subtract and multiply two polynomials.

Exposing Dockerized AI Models via RESTful API

by Jarek Szczegielniak

In this article, we’ll modify our code to expose the same logic via a Rest API service.

Extending Dataset with Data Augmentation

by Sergey L. Gladkiy

In this article, we’ll see how the same result can be achieved by data augmentation.

Face Detection with AI

by Arnaldo P. Castaño

In this article, we go over the steps to detect faces in an image.

Fast String Matching with Wildcards, Globs, and Gitignore-Style Globs - How Not to Blow it Up

by Robert van Engelen

Classic globbing and modern gitignore-style globbing algorithms can be fast, whereas recursive implementations are known to blow up exponentially; why some freely available source code should not be used.

Finding Data for Natural Language Processing

by Jayson DeLancey

This article is the second in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article, we'll look at datasets provided by NLTK, as well as an example of capturing your own textual corpus for analysis.

Finding Probability Distribution Parameters from Percentiles

by John D. Cook

How to determine the parameters of a probability distribution given two percentile constraints

Finding Training Data for OpenCV and ImageAI Object Detection

by Glenn Prince

In this article, we create an object detection model.

Fine-tuning ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll fine-tune our ResNet50 model.

Fine-Tuning the Falcon 7-Billion Parameter Model with Hugging Face and oneAPI

by Intel

Optimizing Large Language Models on Intel® Xeon® Processors with Intel® Advanced Matrix Extensions (Intel® AMX)

Fine-tuning VGG16 to Classify Clothing

by Abdulkader Helwan

In this article we show you how to train VGG19 to recognize what people are wearing.

First Cloud-Native Steps: Introducing the Serverless Python Web API

by Glenn Prince

This article will serve as a hands-on introduction to Cloud Native development for Python developers. Unlike most other introductions, we're going to show how to do things in a realistic way using modern tools.

First Django-Python App in Visual Studio

by MukeshKumarTech

This article will demonstrate how to create the first Django Python application in Visual Studio.

First Python Project in Visual Studio 2017

by MukeshKumarTech

This article will demonstrate how you can create your first Python application in Visual Studio 2017 and after creating your first Python project, we will see some of the small Python examples so that you can get a better picture of how to start writing your program and how to run it.

Float Point Numbers as Approximates & Using Errors

by NewPast

Floating point numbers as approximates and understanding error happened when using single and double data types

Flower Matrix Composition in Python

by UmairNaseerAhmed

Basics of scripting using RenderMan scene description (rib) protocol

Forecasting Stock Market Volatility with Kalman Filters

by Jin Choi, PhD

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

FPGA Hardware Simulation Framework (FPGA_HW_SIM_FWK)

by Clark Fieseln

Simulate hardware containing an FPGA programmed in VHDL interactively

Free tax-rate tables vs. a sales tax API

by Wayne Myer

How tax automation can help your company cut costs and reduce risk by managing sales tax more effectively

From a Few Lines of Code to Building a Whole Functional Website

by Rami Alshaar

Full guide to create a website

From C++ to Python: Get Closer

by Michael Chourdakis

A quick python course for C++ developers

From Machine Learning to Machine Cognition

by Adrian Pirvu

A Roadmap to Intelligence

From Ray to Chronos: Build end-to-end AI use cases using BigDL on top of Ray

by Wesley Du, Junwei Deng, Kai_Huang, Shan_Yu, Shane Huang

In this blog, we will introduce some of the core components in BigDL and showcase how BigDL takes advantage of Ray and its native libraries to build out the underlying infrastructure (such as RayOnSpark, AutoML, etc.

Full Stack Development on Google App Engine

by Modesty Zhang

Develop and operate full stack web Apps and APIs on Google App Engine with productivity and efficiency, including front end app & UI, restful web services and persistence layer with NoSQL database on Google App Engine.

Fusion Development for Hospitality Apps Part 1: Building a Hospitality Power App

by Stanley Wu

How to use a low-code solution like Microsoft Power Apps to create a self-sustaining app

Fusion Development for Hospitality Apps Part 2: Enabling Guest Check-In

by Stanley Wu

How to create a serverless app in Azure that reacts to data changes in Dataverse

Fusion Development for Hospitality Apps Part 3: Expanding the Application by Working with Form Data

by Stanley Wu

How to insert data into Dataverse using the Dataverse API

Fusion Development for Sales Apps Part 2: Receiving API Calls from Power Apps

by Lontia Nkhuwa

In this article we learn how to create a Python app using FastAPI deployed to the Azure App Service.

Fusion Development for Sales Apps Part 3: Working with Form Data

by Lontia Nkhuwa

In this article we create a custom connector, call the API, and create a reservation button.

Gaining Performance Insights Using the Intel® Advisor Python API

by Intel

Getting Good Data to Make Code Tuning Decisions

Generate New Fashion Designs with a Generative Adversarial Network (GAN)

by Abdulkader Helwan

In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.

Generic Repository with SQLAlchemy and Python

by DiponRoy

Example of Generic Repository Class with SQLAlchemy and Python

Geospatial visualization using Python and freely available resources from Esri

by Priyanka Tuteja

In this example, we'll explore building permit data in Montgomery County, Maryland using freely available resources from Esri – the world’s leading location intelligence platform.

Get Started with Intel's Python Distribution on Windows

by Jeffrey T. Fritz

Jeff shows you how to configure and start using Intel's Python distribution with Visual Studio Code. He also shows you some of the speed improvements included in the distribution.

Get Started with the Intel® Distribution of OpenVINO™ Toolkit and AWS Greengrass

by Intel

This section describes implementation of FaaS inference samples (based on Python 2.7) using Amazon Web Services (AWS) Greengrass and AWS Lambda software.

Getting Started with Data Analysis in Azure Synapse Analytics Part 3: Apache Spark

by DaveNoderer

In this article we learn how to set up Apache Spark.

Getting Started with Habana Gaudi for Deep Learning Training

by Greg Serochi

In this article we take you through the process of migrating your existing deep learning models over to Gaudi and show the basic steps to get your model ready to run.

Getting Started With Hybrid Edge AI for Facial Recognition

by Sergey L. Gladkiy

In this article we discuss the principles of face detection and facial recognition.

Getting Started with Intel® IoT Devkit & Intel® XDK IoT Edition

by matthias-hahn

The Intel Development Kit for IoT (IoTDK) is a complete solution to create and test applications for Intel IoT platforms like the Intel® Galileo and Edison maker boards.

Getting Started with Intel® IoT Gateways - Python

by Intel

This article was written for Python. To get started using JavaScript, see Getting Started with Intel® IoT Gateways - Python

Getting Started with Intel® Software Optimization for Theano and Intel® Distribution for Python

by Intel

Theano is a Python library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays (numpy.ndarray)

Getting Started with Python and MongoDB

by Robert_Walters

In this article, you will learn how to do the following: Create a free hosted MongoDB database using MongoDB Atlas, Install PyMongo, the Python Driver, Connect to MongoDB, Explore MongoDB Collections and Documents, Perform basic Create, Retrieve, Update and Delete (CRUD) operations using PyMongo

Getting Started With Raspberry Pi - Part III - How To Use Breadboard?

by Hussain Patel

In this article, we will see how to use Breadboard- it's a great way to connect circuits and your Pi together.

Getting started with the SciPy (Scientific Python) library

by John D. Cook

How to get started using the SciPy library for scientific computing in Python.

Gibberish Classification Algorithm and Implementation in C# and Python

by Thomas Daniels

An algorithm to classify whether text is gibberish or not, and an implementation in C# and Python.

Google App Engine - Python Tutorial

by Google Cloud Platform

By the end of the tutorial, you will have implemented a working application, a simple guest book that lets users post messages to a public message board.

Google Cloud Pub/Sub - Setting Up Your Application

by Google Cloud Platform

Before you can make requests to the Google Cloud Pub/Sub API, your application must set up authorization, using the OAuth 2.0 protocol. If you are using the Google Cloud Pub/Sub client library, you must also create an instance of the Pubsub class.

Gradient Boosting with Intel’s Optimized XGBoost

by Intel

XGBoost algorithm and its comparison to Intel’s xgboost wrapper in Python

Gradient Descent Method in Machine Learning

by CongHaoXiong922342

This article mainly talks about the comprehension of gradient descent and how to implement it in Python.

gRPC in Easy Samples for C#, JavaScript and Python

by Nick Polyak

This article provides simple examples of creating both client and server code for Google RPCs

Hacking Alexa's Voice Recordings

by Michael Haephrati

Now you can store your own voice recordings kept by Amazon but not made available to customers

Handling User-Submitted Content with Django

by Cloudster

Use Django logins to accept user "likes" and content submission

Hosting Without Limits: A Review of 1&1 Internet’s Unlimited Package

by rjdudley

1&1 has become one of the most successful and popular hosting companies in the world by offering simple, inexpensive ($0.99/month for three months, then $8.99/month thereafter) and feature-rich hosting plans.

Hot Word / Voice Recognition using an ESP8266

by FiegeU

Add hot word recognition to your smarthome the ESP8266 way using MicroPython

How Python, Juptyer Notebooks and QISKit Make Quantum Computing Widely Accessible

by Jesse Casman

Using open source tools like Python, Jupyter Notebooks and QISKit allows developers to explore IBM cloud-enabled quantum processors

How to Avoid Running Unnecessary Tests

by Evgenii Zaiats

An approach for integration test frameworks on validating changes within the framework without executing all test suites after each change.

How to build a Python wheel package from the main branch of OpenVINO™?

by Adrian Boguszewski

A step-by-step walkthrough on OpenVINO compilation from source

How to Connect a FastAPI Server to PostgreSQL and Deploy on GCP Cloud Run

by Glenn Viroux

An in-depth tutorial on how to connect a FastAPI application with a PostgreSQL database and deploy the whole application to GCP

How to convert PyTorch model and run it with OpenVINO™ Toolkit

by Adrian Boguszewski

A very simple guide for every PyTorch Developer wanting to improve the inference performance

How to convert TensorFlow model and run it with OpenVINO™ Toolkit

by Adrian Boguszewski

A very simple guide for every TensorFlow Developer wanting to start the OpenVINO journey

How to Fool Machine Learning Malware Detectors using Generative Adversarial Networks (GANs)

by Packt Publishing

Excerpt from the book Mastering Machine Learning for Penetration Testing by Chiheb Chebbi

How to Get Started with TensorFlow

by Packt Publishing

In this section, we'll take our first steps in using the low-level TensorFlow API.

How to Integrate a Python script in Pascal Program

by Max Kleiner

We use a Command Line Interface with OpenWeatherMap (PyOWM) to make it easier to use the OpenWeatherMap API in Python.

How to Train a Custom YOLOv5 Model to Detect Objects

by Matthew Dennis

In this article, I will discuss what I experienced while creating a custom model for the detection of backyard pests. You can download the resulting critters.pt file.

How to Train an Object Detection Model for Visual Inspection with Synthetic Data

by NVIDIA

The article discusses the challenges in training accurate object detection models for industrial visual inspection and proposes the use of synthetic data to address dataset limitations.

How to Train and Test an AI Language Translation System

by Martin_Rupp

In this article, we’ll train and test the model we created in the previous entry in the series.

How to Use C Compiler for Reverse Engineering

by Member 13737597

This article shows how to bring the power of real C compiler for reverse engineering purposes.

How to Use Rest API with Python

by dk_the_developer

Step by step guide to consuming the Rest API endpoints using Python programming

Human Action Recognition with OpenVINO™ Toolkit

by Paula_Ramos

In this article, you will learn how to work with live human action recognition using the OpenVINO™ AI toolkit in a synchronized schedule.

Hybrid Cross-Platform Applications: Approach to Using Cocos2d-x on Top of Native iOS and Android Components

by YevheniyK

The article describes a general approach to using Cocos2d-x on top of native components and relevant coding specifics for Cocos2d-x, iOS and Android.

Hybrid Edge AI Face Detection

by Sergey L. Gladkiy

In this article, we’ll run a pretrained DNN model to detect faces in video.

IEI Tank AIoT Developer Kit and AWS Greengrass: Running Machine Learning Prediction on the Edge

by Intel

In this tutorial, we will setup a basic machine learning prediction model to run as an Amazon Web Services (AWS) Lambda function in an AWS Greengrass group.

IEI Tank AIoT Developer Kit and Microsoft Azure: Running Machine Learning on the Edge

by Intel

This paper will convert a Python based motor defect detector solution to a deployable Azure module.

Image-blending using Python and OpenCV

by Markus Koppensteiner

Python code for image-blending based on an image mask

Implementation of Convolutional Neural Network using Python and Keras

by Nikola M. Živković

Implementation of Convolutional Neural Network using Python and Keras

Improve AI Application Performance and Portability with Automatic Device Plugin

by Ragesh_Hajela

New features in the Intel® OpenVINO™ toolkit enable you to easily optimize for throughput or latency, and help you to “write once, deploy anywhere.”

Improving NLTK Sentiment Analysis with Data Annotation

by Jayson DeLancey

This article is the sixth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article let’s look at what a process of annotating our own dataset would entail.

Inside Dynamsoft Barcode SDK: Unveiling the Algorithm Intermediate Results

by Xiao Ling

In this article, we show you how to get intermediate results of Dynamsoft Barcode Reader SDK using Python and C code.

Installing and Building MXNet with Intel® MKL

by Intel

MXNet is an open-source deep learning framework that allows you to define, train, and deploy deep neural networks on a wide array of devices, from cloud infrastructure to mobile devices.

Installing Intel® Performance Libraries and Intel® Distribution for Python Using YUM Repository

by Intel

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution for Python as they are distributed via the YUM repositories described below.

Installing OpenCV and ImageAI for Object Detection

by Glenn Prince

In this article, we'll set up everything we need to build a hardhat detector with OpenCV.

Installing the Intel® Distribution for Python and Intel® Performance Libraries with pip and PyPI

by Intel

Installing the Intel® Distribution for Python and Intel® Performance Libraries with pip and PyPI

Installing the Intel® Distribution for Python on IBM Cloud Pak for Data using Kubernetes

by Intel

This article includes instructions to install the package as an add-on service for your IBM Cloud Pak for Data cluster using Kubernetes.

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) To Predict S&P 500 Index: Part 1: Install and Configure SAP-HANA

by Arthur V. Ratz

How to properly install and configure SAP-HANA and TensorFlow Model Server to predict the S&P 500 Index

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) To Predict S&P 500 Index: Part 2: Build and Export TensorFlow Model

by Arthur V. Ratz

How to create and export TensorFlow S&P 500 Index prediction model and serve it using TensorFlow Model Server

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) to Predict S&P 500 Index: Part 3: Predict S&P 500 Index Using EML Library

by Arthur V. Ratz

How to predict S&P 500 Index on the SAP-HANA SQL-engine backend using EML library

Integrating Crash Reporting into Your Application - A Beginners Tutorial

by OlegKrivtsov

This article shows how to use CrashRpt error reporting library with an MFC application

Intel® IoT Gateways: Publishing Data to an MQTT Broker Using Python

by Intel

These instructions guide you through the steps to publish data from an Intel® IoT Gateway to an MQTT broker (server) using a Python Script.

Interfacing C++ and Python with the Python API

by Matt Scarpino

This article explains how the Python API makes it possible to embed Python in C++ and write extension modules in C++ that can be imported in Python.

Internet of Things - Controlling Smart Home within $15, Why Not?

by ron85262

In this article, I'll make an overview of IoT and introduce a way to approach IoT using Wemos D1.

Internet of Things: Programming IoT Devices, Web Services and IoT Clients

by Naren Neelamegam

A complete walk through on IoT Device programming, Web Service programming and IoT Client programming.

Intro to QT in Maya 2012

by Geoff Samuel

A brief tutorial on PyQt within Maya 2012.

Introducing Jupyter and Pandas

by Glenn Prince

This article is the first in the Data Cleaning with Python and Pandas series that helps working developers get up to speed on data science tools and techniques.

Introducing NLTK for Natural Language Processing with Python

by Jayson DeLancey

This article is the first in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. This article is a primer on some key NLP concepts and getting started with the Natural Language Toolkit (NLTK) Python library.

Introducing OpenVINO™ integration with TensorFlow

by Stephanie_Maluso

This article provides a better understanding of the benefits of OpenVINO integration with Tensorflow: how it works, deployments environments, and how OpenVINO integration with TensorFlow differs from using native OpenVINO API

Introduction to Face Identification

by Sergey L. Gladkiy

In this article, we focus on developing and testing a face identification algorithm along with the face detection module.

Introduction to Genetic Algorithms with Python - Hello World!

by Clinton Sheppard

A hands-on, step-by-step introduction to machine learning with genetic algorithms using Python.

Introduction to Keras

by Thomas Daniels

In this article, let’s dive into Keras, a high-level library for neural networks.

Introduction to Natural Language Processing with NLTK

by Thomas Daniels

In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).

Introduction to NumPy, TensorFlow, and scikit-learn

by Thomas Daniels

In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.

Introduction to OpenAI Gym: Atari Breakout

by philoxenic

In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.

Introduction to OpenCV

by Thomas Daniels

In this article let's get started hands-on with OpenCV.

Introduction to pyDAAL

by Intel

This paper shows how the python API of the Intel® Data Analytics Acceleration Library (Intel® DAAL) tool works. First, we explain how to manipulate data using the pyDAAL programming interface and then show how to integrate it with python data manipulation/math APIs.

Introduction to Raspberry Pi with Raspbian OS

by Guruprasad.K.Basavaraju

Introduction to Raspberry pi with Raspbian OS. Also a small example of building a simple circuit and programming the same

Invoking TensorFlow AI (Python) from a C# Desktop Application

by Thomas Weller

Demonstrates how to invoke TensorFlow neural networks from a C# application and also how to use a Python-generated chart to display the results.

iOS Object Detection with Live Camera Preview

by Jarek Szczegielniak

In the next article, we’ll start working on the iOS application that will use that model.

IoT Makes the Perfect Microwave Burrito

by Todd Christell, Canin Christell

Creating a Microwave Oven IoT Application

IP Radar 2 - Real-Time Detection and Defense

by Clark Fieseln

Protect your privacy against malicious network activity and policy violations

Iron Web Analyzer

by Hamed J.I

Analyze website content for Search Engine Optimization and technical problems (using Iron Python)

IronTextBox2

by JoeSox

A CLI control for IronPython 2.0B2+.

Jenkins Jobs and Deployments for MLOps on GKE

by Sergio Virahonda

In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.

Julia: A High-Level Language for Supercomputing

by Intel

The JuliaProject Continues to Break New Boundaries in Scientific Computing

Jumpstart Your AI Journey: Building Your First Intelligent App with Azure AI and AKS

by Cloud Native Apps Team

In this first article of our hands-on series, we’ll delve into creating an Intelligent App that leverages Azure AI Vision to analyze images and extract data.

Jumpstart Your AI Journey: Building Your First Intelligent App with Azure AI and AKS - Part 2

by Cloud Native Apps Team

In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.

Jupyter Notebooks with Python and Intel

by Jeffrey T. Fritz

Jeff checks out Jupyter Notebooks with Python and Docker, and starts using the Intel distribution to get improved performance from the Python interpreter.

jupyter.net Client: A C# Library to Interact with Jupyter Kernels

by Andreask84

A description of jupyter.net client: a C# library for interacting with Jupyter kernels

Katana’s High-Performance Graph Analytics Library

by Gurbinder Gill

This article will cover what's in the library, how to get access to the library, usage examples, and benchmark data to highlight performance.

Keeping Track of GitHub Pull Requests with Python and Twilio SMS

by Twilio, Inc.

In this tutorial, I'll walk you through the steps of building out the beginnings of a notification system for GitHub pull requests.

Keras UI: A GUI to Manage Image Classification

by Daniele Fontani

A tool for managing CNN training built on django helps to understand image classification

Keras* Implementation of Siamese-like Networks

by Intel

This guide will help you to write complex neural networks such as Siamese networks in Keras. It also explains the procedure to write your own custom layers in Keras.

KMeans and MeanShift Clustering in Python

by Azim Zahir

KMeans and MeanShift Clustering using sklearn and scipy

Labelling Images for AI Model Training

by Sergio Virahonda

In this article in the series, we label a face mask dataset.

Learning Breakout From RAM – Part 1

by philoxenic

In this article we will learn from the contents of the game’s RAM instead of the pixels.

Learning Breakout From RAM – Part 2

by philoxenic

In this article, we will see how we can improve by approaching the RAM in a slightly different way.

Learning Breakout More Quickly

by philoxenic

In this article, we will see how you can use a different learning algorithm (plus more cores and a GPU) to train much faster on the mountain car environment.

Learning Breakout: Advanced Topics

by philoxenic

In this final article in this series, we will look at slightly more advanced topics: minimizing the "jitter" of our Breakout-playing agent, as well as performing grid searches for hyperparameters.

Let's Code that Wicked Cool Calculator

by Rami Alshaar

Enhance your coding skills with a walkthrough on how to create a smart calculator with many features made in Python.

Let's IoT Hub: Tutorial 1

by g96b10

Set up an Azure IoT Hub and connect to it via Raspberry Pi 3

Let's IoT Hub: Tutorial 2

by g96b10

Create a console application that listens to the data your Raspberry Pi 3 uploads to Azure IoT Hub

Let's IoT Hub: Tutorial 3

by g96b10

Create an application to download and store data uploaded to your Azure IoT Hub

Lina ChatBot - Generating Response Using Document Retrieval TF-IDF

by The Zakies

Build a retrieval based chatbot using TF-IDF

Linear Regression with Tkinter

by Azim Zahir

Demonstration of Linear Regression using Tkinter GUI

Liver Patient Dataset Classification Using the Intel® Distribution for Python

by Intel

This paper focuses on the implementation of the Indian Liver Patient Dataset classification using the Intel® Distribution for Python* on the Intel® Xeon® Scalable processor.

Loading a TensorFlow Model with AI Hazard Detection on Android

by Joel Ivory Johnson

In this article of the AI Hazard Detection on Android series, we will add the TensorFlow Lite model to the project and prepare it for processing.

Loading CSV and SQL Data into Pandas

by Glenn Prince

In this second part of the Data Cleaning with Python and Pandas series, now that we have a Jupyter Notebook set up and some basic libraries initialized, we need to load some data. To do this, we’ll load data from a CSV file, as well as from a local SQLite database.

Logistic Classifier Overfitting and Regularization

by pi19404

In this article we will look at logistic classifier and how regularization affects the performance of the classifier.

Machine Learning - Opinion and Text Mining by Naive Bayes Classifier

by Mahsa Hassankashi

Best practice for opinion and Text Mining based on Naïve Bayesian Classifier.

Machine Learning 101 with Python and daal4py

by Intel

Join Intel Technical Consulting Engineer David Liu, for an overview of Intel’s Python distribution and daal4py package

Machine Learning Basics and Perceptron Learning Algorithm

by Shun Huang

Basics of ML and Perception learning algorithm

Make Your Own Image Classifier On Android Using Tensorflow Within 5 Steps

by ron85262

My article is written mainly for the beginners that are new to Machine Learning or who are unfamiliar with technology to make a small project with Tensorflow on Android.

Making a Simple Data Pipeline Part 1: The ETL Pattern

by Andrew Doss

Schedule Python and SQL scripts to keep your dataset clean and up-to-date in a Postgres database

Making GET Requests in Python - Tutorial

by Lenny Cheng

We use Chrome DevTools, and the urllib and BeautifulSoup libraries to programmatically GET contents from www.codeproject.com.

Making Keras Models Portable Using ONNX

by Keith Pijanowski

In this article I provide a brief overview of Keras for those looking for a deep learning framework for building and training neural networks

Making PyTorch AI Models Portable Using ONNX

by Keith Pijanowski

In this article I provide a brief overview of PyTorch for those looking for a deep learning framework for building and training neural networks.

Making TensorFlow Models Portable Using ONNX

by Keith Pijanowski

In this article, I provided a brief overview of TensorFlow 1.0 and TensorFlow 2.0 for those looking for a deep learning framework for building and training neural networks.

Mastering MultiIndexes in Pandas: A Powerful Tool for Complex Data Analysis

by Glenn Viroux

How to use multi indexing in pandas, with practical use cases such as monitoring changes in the earth surface temperature.

Microsoft Data Science Virtual Machine for Windows and Linux now available

by Lee Stott

The Microsoft Data Science Virtual Machine jump starts your analytics project. It enables you to work on tasks in a variety of languages including R, Python, SQL, and C#.

Microsoft Graph Authentication in Python

by Melanie Hall

In this article we create a Python web app with Flask, which made a simple Graph API call.

Migrating from Assembla to Github using Automation

by Michael Haephrati

How to migrate an Assembla space to Github, including Tickets, contributors, files and source code

MLOps Continuous Delivery with Model Unit Testing

by Sergio Virahonda

In this article, we develop a model unit testing container.

Modal Analysis of Plane Truss using Python

by Bhairav Thakkar

Basic modal analysis for dynamic response of structures in Python

Modbus on Intel(R) Edison

by Intel

For modbus on Intel(R) Edison you can easily use WiFi, or serial (RS232) as they are directly available on the platform.

Model Auto-Adjustment in an MLOps Pipeline

by Sergio Virahonda

In this article, we’ll implement automatic training.

Modernizing Python Apps and Data on Azure - Part 4: Azure Kubernetes Service

by Marcelo Ricardo de Oliveira

How to containerize legacy Python app, create an AKS cluster, and deploy it using VS Code

Modernizing Python Apps and Data on Azure - Part 5: Data Modernization

by Marcelo Ricardo de Oliveira

How to create a Cosmos DB database, then adapt our app to work with it using the Djongo Mapper and Cosmos DB’s MongoDB API

Modernizing Python Apps and Data on Azure - Part 6: Becoming Cloud Native

by Marcelo Ricardo de Oliveira

How to start making an app more cloud-native and a demonstration of how to move the legacy app’s functionality into an Azure Serverless Function app

Modernizing Python Apps and Data on Azure Part 1: Introduction

by Marcelo Ricardo de Oliveira

This first article in the series introduces the goal of this series: demonstrating how to modernize legacy Python apps and their data on Azure.

Modernizing Python Apps and Data on Azure Part 3: Switching to Azure App Service

by Marcelo Ricardo de Oliveira

In this article we demonstrate how to move a copy of our Python app and data to the Azure cloud infrastructure with minimal redesign and modification.

More Adventures in Graph Analytics Benchmarking

by Intel

Let’s take a look at benchmarking the Louvain algorithm.

More AI Traffic Speed Detection With TrafficCV

by Allister Beharry

In this article, we focus on developing a computer vision framework that can run the various Machine Learning and neural network models – like SSD MobileNet – on live and recorded vehicle traffic videos.

MultiClass Logistic Classifier in Python

by pi19404

Supervised ML algorithm for multi-class classification

Multi-dimensional Array Implementation in Python 3.2 besides with the coincidence of C#

by lampiclobe

A multi dimensional array class with the advance of negative indexes. Used like a[-2, -5, 3] with any dimensions.

Multilayer Perceptron in Python

by pi19404

About single-hidden layer MLP

Multi-Stage Docker Builds for AI Object Detection

by Jarek Szczegielniak

In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.

Mycroft, the Open Source Alternative to Siri or Alexa

by Intel

Intel® Software Innovator Joshua Montgomery, Karl Fezer, and Steve Penrod of the Mycroft team let me pick their brains to learn a bit more about Mycroft.

Naive Bayes Spam Classifier

by Vince Chan

A walkthrough of common machine learning tasks - by building a Naive Bayes Spam Classifier using python and scikit-learn

Named Entity Recognition Using OpenVINO™ Toolkit

by Ragesh_Hajela

NER systems can pull entities from an unstructured collection of natural language documents called as knowledge base. In this article we will show entity recognition from simple text using OpenVINO™ toolkit and you will see how to create the following pipeline to perform entity extraction.

NAT traversal for Software Developers

by Andy Galluzzi

NAT traversal for Software Developers

Naїve Bayesian Anti-Spam Filter Using Node.JS, JavaScript And Ajax Requests

by Arthur V. Ratz

In this article we’ll formulate and thoroughly discuss about probabilistic Bayesian classification algorithm and its implementation in Node.JS and JavaScript that can be actively used to detect and locate messages containing potential spam and other unsolicited data.

NLTK and Machine Learning for Sentiment Analysis

by Jayson DeLancey

This article is the fifth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article we're building an optimized machine learning model.

Node.js for .NET Developers by WCF

by Mahsa Hassankashi

This article illustrates how to use Node.js by WCF which is written in C# and using node.js as real time communication technology with the aid of C# code to connect MS SQL Server.

Node.js Get Started and Miscellaneous

by Dr. Song Li

Study note on Node.js

NodeJS By Microsoft Visual Studio

by Mahsa Hassankashi

This article is a practice for nodejs on Microsoft .net platform with javascript language

Non-blocking GUI while Serving Blocking External I/O – Blender Python Support

by pravin kumar sinha

Python GUI non-blocking with timer events, 'select' API, Blender example

Notes on ML and TensorFlow: Linear Regression

by Ngọc Minh Trần

Diary of learning Machine Learning and TensorFlow

Notification of Run-Time Errors with Raygun

by Bruno Terkaly

Raygun is a notification mechanism for run-time errors that is easy to plug into different languages and environments

Nutanix Data Pipelines and AI for Developers

by Sai Nanduri

In this post, I’ll be abstracting away the container components entirely, and walking you through a demonstration of our native data pipelines for a real-world AI implementation.

Nutanix Xi IoT Application Containers for Developers

by Heiko Koehler

In this article I’ll discuss another option supported by Xi IoT: containerized applications that enable you to configure and deploy custom services and runtime environments for your edge computing solution.

Object Detection with an IP Camera using Python and CodeProject.AI Server

by Chris Maunder

The first in a two-part series on detecting objects and evil rodents

Object Detection with an IP Camera using Python and CodeProject.AI Server, Part 2

by Chris Maunder

The second in a two-part series on detecting objects and evil rodents

On How to Mix Two Signals by using Spectral Forecast

by Paul Aurelian Gagniuc

This article shows how to mix two signals into a third, in variable proportions.

OneNote to Markdown Using Python and the Microsoft Graph API

by Melanie Hall

The Python web app this article creates will be broadly useful to enterprise developers, who can use it as a starting point and swap out the Markdown conversion code for code that converts to whatever output format the business requires.

OOP in Python - part 1

by Gergo Bogdan

Object Oriented Programming in Python

OOP in Python - Part 2

by Gergo Bogdan

Object Oriented Programming in Python - part 2 (Inheritance)

OpenGL in Python with TKinter

by Samuel Teixeira

Why simple if we can be complex?

Optimizing Linear Regression Method with Intel® Data Analytics Acceleration Library

by Intel

This article describes a common type of regression analysis called linear regression and how the Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize this algorithm when running it on systems equipped with Intel® Xeon® processors.

Optimizing Performance for Python Applications

by Stephan Ofosuhene

This post discusses strategies for improving the performance of Python applications by making them run faster and use fewer resources.

Optimizing the AI Traffic Speed Detector

by Allister Beharry

In this article, we explore the different ways of measuring vehicle speed and the different Deep Learning models for object detection that can be used in our TrafficCV program.

Painting on a Widget

by Geoff Samuel

Create a PyQt Widget that can be drawn on

Palindromes - Fun with Words: Part 1

by charles922

Games/Fun with Programming

Parallelism in Python

by Intel

Dispelling the Myths with Tools to Achieve Parallelism

Parallelism in Python Using Numba

by Intel

In this article, we’ll explore how to achieve parallelism through Numba.

Parallelism in Python: Directing Vectorization withNumExpr

by Intel

In this article, we’ll explore how to refactor Python code to take advantage of NumExpr’s capabilities.

Parsing XBRL with Python

by Matt Scarpino

Extracting data from online financial reports with Python

Partially-Sampled Random Numbers for Accurate Sampling of Continuous Distributions

by Peter Occil

Python code for partially-sampled random numbers for accurate arbitrary-precision sampling

Pebble "Code Wizard"

by allan175_uk

Creating customized Pebble projects

Performance testing of ORM layers in Python and C++

by Vaclav Naydenov

Comparing the performance of two similar CRUD server apps, one written in Python and SQLAlchemy, the other in C++ and YB.ORM.

Performing Git Operations in Python

by Matt Scarpino

This article explains how to access Git repositories in Python using the GitPython library.

Performing Object Detection on a video file using CodeProject.AI Server

by Chris Maunder

Learn how to process a video file offline using CodeProject.AI Server

Performing Speech-to-Text Recognition with OpenVINO™

by Adrian Boguszewski

In this article, I will show you how to easily run inference on speech-to-text recognition models using OpenVINO™ so you can start applying this capability in your own applications.

Phalanx Linq - Traverse Healthcare's Business Development Labyrinth

by UmarSiddiqui

The Intelligent Way to Develop Business in the World of Healthcare

PixelCNN in Autoregressive Models

by Packt Publishing

This article is an excerpt from the book PyTorch Deep Learning Hands-On by Sherin Thomas and Sudhanshu Passi. It has numerous examples and dynamic AI applications and demonstrates the simplicity and efficiency of the PyTorch approach to machine intelligence and deep learning.

Plant Lighting System in Python

by Intel

This Plant Lighting System application is part of a series of how-to Intel® Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, Intel® IoT Gateway, cloud platforms, APIs, and other technologies.

Point Inside 3D Convex Polygon in Python

by John Jiyang Hou

An algorithm to determine if a point is inside a 3D convex polygon for a given polygon vertices in Python

Portable Neural Networks with ONNX

by Keith Pijanowski

This article is the first in a series of seven articles in which we will explore the value of ONNX with respect to three popular frameworks and three popular programming languages.

Porting Your Applications to Arm64 Using Arm64EC — Series (Part 1)

by Dawid Borycki

In this article, you will build a Qt-based Python application with two C/C++-based DLL dependencies. This architecture mimics a typical scenario of using Python and Qt for rapid UI prototyping and DLLs for computation-intense work.

Porting Your Applications to Arm64 Using Arm64EC — Series (Part 2)

by Dawid Borycki

Powering Intelligent Apps with a Multi-Model Database Using Azure Cosmos DB and Azure Kubernetes Service

by Cloud Native Apps Team

In topic 2 of our series, we explore the power of multi-model databases for Intelligent Apps and their integration with Azure Cosmos DB and Azure Kubernetes Service (AKS).

Predicting Forest Fires Using PyTorch

by Intel

Transfer Learning on a CPU Is an Efficient Way to Build Accurate Image Classifiers

Predicting Near Term COVID Death Rates

by Don Kackman

Using previous case and fatality numbers, predict future death rates based on current case counts

Predicting user activity in devices using an accelerometer with the Intel® Edison Board

by Intel

This project describes how to recognize certain types of human physical activities using acceleration data generated from the ADXL345 accelerometer connected to the Intel® Edison board.

Preparing a Dataset for AI Face Recognition

by Arnaldo P. Castaño

In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.

Preparing a Deep Learning Environment for COVID-19 Diagnosis

by Abdulkader Helwan

In this article, we’ll discuss materials and methods for this project.

Preparing Data for AI Fashion Classification

by Abdulkader Helwan

In this article we’ll show you how to use transfer learning to fine-tune the VGG19 model to classify fashion clothing categories.

Preparing Data for AI Image Classification on iOS

by Jarek Szczegielniak

In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.

Preparing Dataset

by Sergey L. Gladkiy

In this article we’ll create the training dataset for our pest of choice: The moose.

Preparing Hardware for AI Traffic Speed Detection

by Allister Beharry

In this article, we’ll go through installation of the operating system on the Pi, securing it, and configuring it for remote access over WiFi.

Preparing Images for AI Model Training

by Sergio Virahonda

In this article we prepare a face mask images for our AI model training.

Preparing Images for Object Detection With OpenCV and ImageAI

by Glenn Prince

In this article, we train our own custom model to detect if people are wearing hardhats.

Preparing to Train Deep Fake Models in the Cloud

by Sergio Virahonda

In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.

Preprocessing a Dataset for Deep Fakes

by Sergio Virahonda

In this article, I’ll go through what’s required to preprocess videos and prepare them to be fed into our models.

Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

by Sergio Virahonda

In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.

Primality test algorithms - Prime test - The fastest way to check primialty of a number

by Shay Margalit

Review primality test algorithms and test their preformance in order to find out which is the fastest.

Productivity Hack Every Successful Developer Should Embrace

by Embarcadero

As the developer productivity drain crisis is worsening, we will inevitably witness even more manifestations of this problem in the near future. Adopting a smarter approach to building, testing, and maintaining software products without further delay is the way to avoid falling into this trap.

Profiling Java and Python Code using Intel® VTune™ Amplifier

by Intel

Here we explore using Intel® VTune™ Amplifier to gain more understanding about how an application is performing.

Programming in ObjectScript 1.5

by unitpoint

The ObjectScript is a new embedded programing language that mixes benefits of JavaScript, Lua, Ruby, Python and PHP. The ObjectScript has syntax from JavaScript, multiple results from Lua, sugar syntax from Ruby, magic methods from Python and much more.

Pros and Cons of NLTK Sentiment Analysis with VADER

by Jayson DeLancey

This article is the fourth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this and additional articles, we’re going to try and improve upon our approach to analyzing the sentiment of our communities.

Putting it all Together: Swapping Faces with Deep Fakes

by Sergio Virahonda

In this article, we complete the pipeline for our Deep Fakes DIY solution.

PyQt5 signal/slot connection performance

by schollii

Investigation on effect of using pyqtSlot in PyQt5

Python AI and Machine Learning Libraries

by Thomas Daniels

In this article we can take a look at what libraries are available to work on AI and ML tasks.

Python Basics for Machine Learning and AI

by Thomas Daniels

This article provides some tips for experienced programmers to get up to speed with the basics of Python.

Python Code Analysis

by Intel

Explore performance analysis options provided by the Intel® VTune Amplifier for Python applications to identify the most time-consuming code sections and critical call paths.

Python Concurrency Programming: 6 Python Synchronization Primitives You Should Know

by Packt Publishing

This is an excerpt from Learning Concurrency in Python, by Elliot Forbes. Published by Packt Publishing.

Python for .NET developer

by Himanshu Thawait

Python from the .NET developer point of view

Python Fourier Transform Helper Library

by Steve Hageman

A Python Library to help make properly scaled Fourier Transforms including utility functions

Python Generators and Classes

by Thomas Daniels

In this article we go a bit further with generators and classes.

Python Machine Learning on Azure Part 1: Creating an XGBoost Model with Python, VS Code, and Azure ML

by Jarek Szczegielniak

How to use Visual Studio Code with Machine Learning extensions to train an XGBoost model on Azure

Python Machine Learning on Azure Part 2: Creating a PyTorch Model with Python, GitHub Codespaces, and Azure ML

by Jarek Szczegielniak

How to use GitHub Codespaces and GitHub Actions to automatically train a PyTorch model after each push of changes to a repository

Python Machine Learning on Azure Part 3: Creating a TensorFlow Model with Python and Azure ML Studio

by Jarek Szczegielniak

How to train within an Azure Machine Learning workspace using a TensorFlow model

Python Quickstart: Creating a template and deployment

by Google Cloud Platform

This document discusses how to use the Python Client Library as an example of using any of the Google Client Libraries to write against the Deployment Manager API.

Python Random Number Generation Performance with the Intel Python Distribution

by Jeffrey T. Fritz

Jeff looks at the performance of random number generation using the Intel Python distribution

Python Readonly Attributes: Complete Solution

by Sergey Alexandrovich Kryukov

Reliable solution does the trick: it does not depend on any naming conventions, works for both Python 2 and 3 and offers clear and concise usage syntax

Python Single Thread vs Multi-Thread vs Multi-Process on Monty Hall Problem

by DaveAuld

This is a probability based simulation that demonstrates 'Swapping' is considered the best option! We also look at the effect of multi-threading and multi-process in Python.

Python Tuples, Lists, Destructuring, and Loops

by Thomas Daniels

Now that you know some of the basics of Python we can go a bit deeper, with the lists and tuples data structures and see how to work with them.

Python: Get User Info After oAuth

by Kristofer Kallsbo

Getting user info after oAuth.

Python-Embedded XML and Test Automation

by Trustamind

Python code is embedded in XML and evaluated on the fly to generate data values.

Python's Hand in Redirecting Command Output Over the Network

by Zehaie M. Hailu

Python lends itself to the development of multi-threaded GUI and network applications.

Qt Internals & Reversing

by Daniel Pistelli

The first part of this article shows the dynamic internals of the Qt framework, which enable the signals and slots mechanism. The second part focuses on how to retrieve the metadata information generated by the Qt moc from binary files with an IDAPython script, and how to use it in the disasm.

Quick Introduction to YB.ORM - Object Relational Mapper for C++

by Vaclav Naydenov

How C++ library YB.ORM can help manipulate the data stored in RDBMS using domain classes. Basic concepts of ORM are explained by examples.

Random Forest Python

by Mahsa Hassankashi

This article provides python code for random forest, one of the popular machine learning algorithms in an easy and simple way.

Randomization and Sampling Methods

by Peter Occil

Has many ways applications can sample using an underlying (pseudo-)random number generator and includes pseudocode for many of them.

Raspberry Pi - [Episode 2] In, Out, that's what it's all about.

by DaveAuld

Real World Interfacing to the Raspberry-Pi using a Gertboard.

Raspberry Pi - Haynes Owner's Workshop Manual

by DaveAuld

A quick book review of what could be one of the "Best Haynes Manual Ever"

Read Sales Receipts And Extract Details Using Pre-Built ML Model - Azure Cognitive Services

by Shweta Lodha

Ways to extract information from sales receipt and detailed demonstration of how to use pre-built ML models

Real time Python via TCP (Part I)

by Member 13855425

How to implement asynchronous echo TCP Server & Client using Tornado framework

Really simple C++ code generation in Python

by Eric Reynolds

Quickly churn out repetitive C++, C#, or Java code from any data that Python can read.

Real-time AI Person Detection on Edge Devices: Detecting Persons on Video

by Sergey L. Gladkiy

In this article we’ll develop Python code for person detection in a video stream.

Real-time AI Person Detection on Edge Devices: Detecting Persons on Video in Real-time Mode

by Sergey L. Gladkiy

In this article, we’ll modify the code for real-time processing on an edge device.

Real-time AI Person Detection on Edge Devices: Detecting Persons Using Pre-trained SSD Models

by Sergey L. Gladkiy

In this article, we’ll showcase the Python code for launching these models and detect humans in images.

Real-time AI Person Detection on Edge Devices: Launching SSD on Raspberry Pi

by Sergey L. Gladkiy

In this article, we’ll see how you can install Python-OpenCV on the device and run the code.

Real-time AI Person Detection on Edge Devices: Selecting Deep Learning Models

by Sergey L. Gladkiy

In this article, we’ll discuss the pros and cons of the existing DNN approaches and select a pre-trained model for further experimentation.

Real-time AI Person Detection on Edge Devices: Testing SSD Models on Raspberry Pi

by Sergey L. Gladkiy

In this article, we’ll test the accuracy and the performance of the MibileNet and SqueezeNet models on the Raspberry Pi device.

Real-time AI Pest Elimination on Edge Devices: Getting Started

by Sergey L. Gladkiy

In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.

Real-time Barcode Scanning from Camera Stream

by Xiao Ling

In this post, we discuss how to leverage Dynamsoft Barcode Reader video decoding APIs to implement the barcode scanning functionality in camera preview scenario. Also, we demonstrate how to implement for desktop and mobile platforms respectively with the code snippet.

Real-Time Data Science and BI with Azure Synapse Analytics Part 1: Overview

by Dawid Borycki

This article discusses ways to analyze real-time data without affecting application performance.

Real-Time Data Science and BI with Azure Synapse Analytics Part 2: Setting up the Environment

by Dawid Borycki

In this article, we prepare our Azure Cosmos DB account, added sample retail sales data, created an Azure Synapse workspace, and linked Azure Synapse Studio.

Rectangle Packing

by pravin kumar sinha

Pack rectangular area with set of subrectangles to maximize covered area and minimize unpacked area

Recursion and Backtracking

by Rune Rafn

Using Python recursion and backtracking for resolving Sudoku

Re-execute Test-cases and Merge the Robot Framework Reports via Jenkins

by Iqra Ali

This article will cover some very less common and highly used Robot Framework and Ipy command to follow within your Jenkins job.

Remote controlled LED / Weather Station / Message Display (Part 1 - Raspberry Pi)

by Andrew Lai

A small project to give my son a great surprise

ReRouter - Make an Extensible IoT Router

by Member 12597176

a extensible IOT Router made by SeeedStudio

Reshaping Data in a Pandas DataFrame

by Glenn Prince

In this sixth part of the Data Cleaning with Python and Pandas series, we look at a few of the simpler methods for combining data.

Restructuring ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll work on restructuring ResNet50 to perform the new classification task.

Retrieving JSON response from AI platforms

by Murthy TS

Getting clean, structured data from four leading AI platforms - OpenAI, Groq, Gemini, and Mistral

Reverse Polish Notation (RPN) Calculator in Python

by Azim Zahir

How to create a Reverse Polish Notation (RPN) Calculator using Python

Rodney - A Long Time Coming Autonomous Robot (Part 1)

by Phil Hopley

First part in a series on a ROS (Robot Operating System) House Bot

Rodney - A Long Time Coming Autonomous Robot (Part 2)

by Phil Hopley

Second part in a series on a ROS (Robot Operating System) House Bot

Rodney - A Long Time Coming Autonomous Robot (Part 3)

by Phil Hopley

Third part in a series on a ROS (Robot Operating System) House Bot

Rodney - A Long Time Coming Autonomous Robot (Part 4)

by Phil Hopley

Fourth part in a series on a ROS (Robot Operating System) House Bot

Rodney - A Long Time Coming Autonomous Robot (Part 5)

by Phil Hopley

Fifth part in a series on a ROS (Robot Operating System) House Bot

Rodney - A Long Time Coming Autonomous Robot (Part 8)

by Phil Hopley

Eighth part in a series on a ROS (Robot Operating System) House Bot

Rotating a Cube with an L3G4200D Gyro Chip wired to a BeagleBone Black

by Marc Clifton

My adventure with hardware and communicating between a BeagleBoneBlack and a C# app on Windows.

Rubber Duckies in Dynamical Systems

by sbarnes

This time, I'm sure I've found stuff that is completely new and previously unknown.

Run an Inference Engine API in Python on IEI Tank AIoT Developer Kit

by Intel

This paper provides introductory information, links and resources for operating an IEI Tank with the Intel® Distribution of OpenVINO™ toolkit for Linux with FPGA support.

Running AI Fashion Classification on Real Data

by Abdulkader Helwan

In this article we evaluate VGG19 using real images taken by a phone camera.

Running AI Models in Docker Containers

by Jarek Szczegielniak

In this article, we’ll create a container to run a CPU inference on the trained model.

Running AI Models in GPU-Enabled Docker Containers

by Jarek Szczegielniak

In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.

Running Automation Tests at Scale Using Python

by Suhagkumar Vamja

This article discusses running automation tests at scale using Python, primarily focusing on Selenium.

Running Face Recognition on Kubernetes

by Sergey L. Gladkiy

In this next article of the series, we’ll show how to run the face recognition servers on Kubernetes.

Running IronPython in DotNetNuke

by Tommi G

How to script DotNetNuke the Python way.

rWTT - A Worktime Tracker based on Raspberry Hardware Linked to Dynamics AX

by FiegeU

A worktime tracking solution that reads RFID tags on a Raspberry based terminal that is integrated to Dynamics AX 2009

Scaling Intelligent Apps on Azure Kubernetes Services

by Cloud Native Apps Team

In the final part of our series, we’ll dive into how to harness AKS’ powerful features like auto-scaling and high availability to manage variable workloads and maintain continuous service.

Scripted Business Rules with .NET and IronPython, Part 1

by beep

Introduction to the Aim framework for dynamic scripting

Scripting .NET Applications with IronPython

by Jerome Terry

Extending .NET applications by adding scripting support via IronPython

Sentiment analysis and forcasting using Amazon SageMaker

by Joydip Kanjilal

Examine data for sentiment analysis using HANA and Amazon SageMaker

Serverless Computing: An Introduction to FaaS with Machine Learning

by MehreenTahir

In this article, we’ll look at some advantages of serverless computing and then dig into a real-world example using the Microsoft Azure Functions service to build and deploy a sample ML inferencing function.

Serverless Development Experience for Embedded Computer Vision

by Miguel Angel Cabrera Miñagorri

Learn to create real-time computer vision applications with a couple of Python functions and a model URI.

Setting Up a Development Environment for AI Traffic Speed Detection

by Allister Beharry

In this article, we set up a development environment on Windows 10 for cross-platform computer vision and machine learning projects to run on our Pi device.

Setting Up an Android AI Development Environment

by Joel Ivory Johnson

This is the first in a series of articles on using TensorFlow Lite on Android to bring the power of machine learning and deep neural networks to mobile application

Setting up and Programming Raspberry Pi in Python and C

by Guruprasad.K.Basavaraju

Setting up AWS IoT Device SDK on the Intel® Edison Board

by Intel

This tutorial will walk you through the process of installing the AWS IoT SDK and show you how to make basic MQTT calls.

Setting up macOS for ML and AI Development

by Jarek Szczegielniak

In this article we prepare our development environment.

Setting Up Python Development Environments with Visual Studio Code

by Shun Huang

A tutorial for using Visual Studio Code for Python Development on various environments.

Setting Up Your Own Telegram Bot with ChatGPT: A Beginner’s Guide

by Nuralem Abizov

Discover how to create your own conversational Telegram bot powered by OpenAI's ChatGPT, with this step-by-step guide designed for beginners.

Setup and Test Python Environment in Existing Visual Studio 2017

by MukeshKumarTech

This article will help you to understand how to setup Python environment in existing Visual Studio 2017. If you don’t have Visual Studio 2017 installed and you would like to install it, then you can refer to the below article for step by step information.

Shallow Copy vs. Deep Copy in Python 3

by Volynsky Alex

This article describes the difference between shallow and deep copy using Python 3.

Silverlight Pronunciation Test

by Marcelo Ricardo de Oliveira

How to create a pronunciation test tool using Silverlight and Python

Simple Python Flask Program with MongoDB

by Sarathlal Saseendran

This is a sample Python Flask program uses mongodb as database.

Simple Software for Optimal Control

by Igor Ladnik

Simple software to solve quadratic optimal control problem

Single Page Application with .NET MVC and AngularJS

by Brian Kwak

Main content pages use AngularJS to display, and MVC .NET authorization is used for user validation

Single Page Apps with Flask and Angular 4|5 Tutorial Series

by Ahmed Bouchefra

Single page apps with Flask and Angular 4|5 tutorial series

Smarter Security Camera: A POC Using the Intel® IoT Gateway

by Intel

This article is a proof of concept to explore quickly prototyping an analytics solution at the edge using Intel® IoT Gateway computing power to create a Smarter Security Camera.

SmartPresence for Google Talk

by Plantronics

SmartPresence for Google Talk

SMS Implementation with the Telit Cellular Module using Python

by jonbowen234

SMS implementation with the Telit Cellular Module using Python

Solving Real-World Machine Learning Problems with Intel® Data Analytics Acceleration Library

by Intel

In this article, we will talk about criteria you can use to select correct algorithms based on two real-world machine learning problems that were taken from the well-known Kaggle platform used for predictive modeling and from analytics competitions where data miners compete to produce the best model

Spam Classification using Python and Keras

by Markus Glagla

How to prepare training and test data, define a simple neural network model, train and test it

Speeding Up the Databricks Runtime for Machine Learning

by Intel

Intel has invested in optimizing performance of Python itself, with the Intel® Distribution for Python, and has optimized key data science libraries used with scikit-learn, such as XGBoost, NumPy, and SciPy. This article gives more information on installing and using these extensions.

Starter Framework for Machine Learning Projects

by Yosry Negm

Introduce a simplified clarification about the main steps for performing statistical learning or building machine learning model

Step-by-Step Guide To Implement Machine Learning I - KNN

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide To Implement Machine Learning II - Decision Tree

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide To Implement Machine Learning III - Naive Bayes

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide to Implement Machine Learning IV - Logistic Regression

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide to Implement Machine Learning IX - Tree Regression

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide to Implement Machine Learning VIII - Linear Regression

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide to Implement Machine Learning X - KMeans

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide to Implement Machine Learning XI - DBSCAN

by Ryukkkk

Easy to implement machine learning

Step-by-Step Guide to Implement Machine Learning XII - Apriori

by Ryukkkk

Easy to implement machine learning

Stock Predictions through News Sentiment Analysis

by Intel

There are many techniques to predict the stock price variations, but in this project, New York Times’ news articles headlines is used to predict the change in stock prices.

Streaming at Scale with Azure Event Hubs for Kafka Developers Part 1: Getting Streaming Data into Azure

by Glenn Prince

In this article, we create an Event Hubs instance and a demonstration application that sent messages using the Kafka API.

Streaming at Scale with Azure Event Hubs for Kafka Developers Part 2: Processing Streaming Data with Azure Functions in Python

by Glenn Prince

In this article, we develop several Azure Functions in Python to process the payload we receive and save the data to a Cosmos DB instance.

Streaming at Scale with Azure Event Hubs for Kafka Developers Part 3: Analyzing and Visualizing the Data

by Glenn Prince

In this article we finish building our application by adding Power BI to build reports and dashboards on top of our Cosmos DB dataset.

Streaming at Scale with Azure Event Hubs, Streaming Analytics, and Azure SQL Part 1: Getting Streaming Data into Azure

by Sander Rossel

How to write a Python app to ingest weather data into Azure using an Azure Event Hub

Streaming at Scale with Azure Event Hubs, Streaming Analytics, and Azure SQL Part 2: Processing Streaming Data with Azure Streaming Analytics

by Sander Rossel

How to process data by connecting the Event Hub to Azure Streaming Analytics

Streaming at Scale with Azure Event Hubs, Streaming Analytics, and Azure SQL Part 3: Analyzing and Visualizing the Data

by Sander Rossel

How to transform data to produce statistics and visualize data using Power BI

Streaming at Scale with Kafka and Azure HDInsight Part Three: Analyzing Streaming Data on HDInsight with PySpark

by David Norton

In this article we use PySpark to stream and analyze our data.

Streaming at Scale with Kafka and Azure HDInsight Part Two Streaming Data into Kafka on HDInsight

by David Norton

In this article we explore how to stream data into Kafka.

Streamline PyTorch with Intel OpenVINO™ integration with Torch-ORT

by Intel

OpenVINO integration with Torch-ORT gives PyTorch developers the ability to stay within their chosen framework all the while still getting the speed and inferencing power of OpenVINO™ toolkit through inline optimizations used to accelerate your PyTorch applications.

Table-driven Approach

by Peter Kankowski

How to make your code shorter and easier to maintain by using arrays

Taking Intelligent Apps to the Next Level: Implementing Advanced Features with Azure Machine Learning: Part 2

by Cloud Native Apps Team

In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this fourth and final part, you’ll explore how to integrate a custom model into your Intelligent Apps, enhancing the application’s features with specialized AI.

Teaching a Robot to Walk with AI - Introduction to Continuous Control Environments

by philoxenic

In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.

Teaching a Robot to Walk with AI and PyBullet Environments

by philoxenic

In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.

TensorFlow - Creating C# Applications using TensorFlowSharp

by Sau002

How to create C# applications using TensorFlowSharp

The Dew Review - Aspose.Cells for .NET

by Alvin Ashcraft

Last June, I reviewed the Aspose.Email for .NET component and demonstrated how to work with email messages in PST files or via IMAP. Well, I am back again for a look at another Aspose package. This one is Aspose.Cells for .NET.

The High-Governance of No-Framework - Part 2

by Chris Solutions

The implementation of a no-framework client application using high-level developer governance.

The New Power of Dynamsoft Barcode SDK: Decoding Direct Part Marking (DPM) Codes

by Xiao Ling

In this article, we discuss the unique challenges DPM codes present, and how Dynamsoft Barcode Reader overcomes these challenges with just a few lines of code.

Theano Machine Learning on a GPU on Windows 10

by Dino Konstantopoulos

Running Theano with an Nvidia 1070 GPU on Windows 10, with CUDA 8 and Visual Studio 2015

Thinking, Consciousness and a Model of Intelligence

by Adrian Pirvu

Neural Patterns model for new thinking machines

Time to Improve Your Excel Financial Models

by Mark_Nadelson

How can financial models built in Excel provide quicker and deeper insights by using Eikon Data API (DAPI), Python and xlwings to automate calculations?

Tools for Building AI Language Translation Systems

by Martin_Rupp

Tools and software required to build a DL-based automatic translation system

Tools to Help Optimize Deep-Learning Performance

by Chris_Riley

This article explores how developers can make deep-learning applications faster and more efficient by taking advantage of tools that optimize deep-learning code.

Tracking Microsoft Solutions (a Newer SCM tool)

by sbarnes

A small utility that feature-creeped into Yet Another SCM tool - a useful app to examine

Train a Apache MXNet Model in Amazon SageMaker and Run on IEI Tank AIoT Developer Kit

by Intel

We will train the Apache MXNet Gluon model in Amazon SageMaker to read handwritten numbers of MNIST dataset and then run the prediction for ten random handwritten numbers on IEI Tank AIoT Developer Kit.

Training a Custom Model with OpenCV and ImageAI

by Glenn Prince

In this article, we begin the process of creating a custom object detection model.

Training a Custom Object Detection Model on Azure Custom Vision Part 2: Testing the Model

by MehreenTahir

In the previous article we trained a simple machine learning model that identifies when and where a human is present in an image. This article will demonstrate how to test this model and re-train it as necessary.

Training a Custom Object Detection Model on Azure Custom Vision Part 3: Deploying and Running the Model

by MehreenTahir

In this article we demonstrate how to deploy a Custom Vision model on a Raspberry Pi device to detect pedestrians in front of a vehicle.

Training a DNN

by Sergey L. Gladkiy

In this article, we’ll discuss training our DNN classifier with the augmented dataset.

Training a Humanoid AI Robot to Run Backwards

by philoxenic

In this article we will try to train our agent to run backwards instead of forwards.

Training a Humanoid AI Robot to Run With a Custom Model

by philoxenic

In article in this series we will look at even deeper customisation: editing the XML-based model of the figure and then training the result.

Training a Humanoid AI Robot to Walk Using Proximal Policy Optimisation (PPO)

by philoxenic

In this article in the series we start to focus on one particular, more complex environment that PyBullet makes available: Humanoid, in which we must train a human-like agent to walk on two legs.

Training a Humanoid AI Robot to Walk With Soft Actor Critic (SAC)

by philoxenic

In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).

Training a Running a Deep CycleGAN for Mobile Style Transfer

by Abdulkader Helwan

In this article, we train a CycleGAN with a U-Net-based generator.

Training a YOLOv5 Model for Face Mask Detection

by Sergio Virahonda

In this article, we’re going to use the dataset to train a YOLOv5 object detection model.

Training and Running a GAN for Fashion Design Generation

by Abdulkader Helwan

In this article we show you how to train the GAN for fashion design generation.

Training Your Own TensorFlow Neural Network For Android

by Joel Ivory Johnson

In this article we will generate output from a program will provide a TensorFlow freeze graph ready to be used or converted to TensorFlow Lite.

Transfer Learning with TensorFlow 2

by Nikola M. Živković

How to transfer leaning with TensorFlow2

Transfer Learning with TensorFlow on Intel® Arc™ GPUs

by Intel

Fast and Easy Training and Inference Using Intel® Consumer GPUs and Windows* Subsystem for Linux 2

Turing: Another Take on Algorithm and Python Development

by zdimension

A cross-platform algorithm/pseudocode and Python development environment with debugging features

Tutorial for creating simple Hyakunin-Issyu application using Sinatra and Heroku

by Software Developer's Journal

Typewriter.NET Text Editor

by Сергей Челноков

How to write your Notepad

Uncomfortable Truth About Programming

by omeecode

Truth about programming that nobody tells you when you start out

Understanding Capsule Network Architecture

by Intel

Understanding Capsule Network Architecture

UnSupervised Learning - Clustering and K-Means

by pravin kumar sinha

Update Confluence Wiki Page Using Python

by Friedrich Brunzema

How to programmatically edit a Confluence Wiki page

Use Linux Apps With Django to Process Images

by Cloudster

Run command line Linux apps inside of Django to rapidly process 360 degree images.

Use Machine Learning to Determine the Programming Language of Text

by sjb_strat

Use machine learning to determine the programming language of text

Use Sphinx for Python Documentation

by Shun Huang

How to use Sphinx for Python documentation

Using Amazon Alexa to Control External IoT Output with Renesas AE-CLOUD1

by Jesse Casman

Use an Amazon Echo to control an IoT device to find out temperature and more

Using an ONNX Neural Network Model with TensorFlow Lite on Android

by Joel Ivory Johnson

In this article we will take a pre-trained neural network and adapt it for use in TensorFlow Lite.

Using Autoencoders for Deep Fake Generation

by Sergio Virahonda

In this article we’ll start to focus on our DIY approach.

Using ClearCase winking mechanism with new Visual Studio versions

by Michael Pan

Creating makefiles from vcproj files and using them with the ClearCase winking mechanism.

Using Cloud AI for Sentiment Analysis

by Jayson DeLancey

This article is the seventh in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article we look at some alternatives to VADER.

Using CodeProject.AI Server with Blue Iris

by Matthew Dennis

Integrating CodeProject.AI Server with the Blue Iris video security and webcam system

Using COM Objects in Scripting Languages -- Part 2 (Python)

by Sharjith

This article shows how to instantiate a COM object in Python and use its methods and properties.

Using Decorators to Instrument Python Code with OpenTelemetry Traces

by Digma.ai

Python decorators can help keep OpenTelemetry tracing instrumentation DRY

Using Docker for Facial Identification

by Sergey L. Gladkiy

In this article we create a Docker container for this system.

Using Gesture Recognition as Differentiation Feature on Android

by Android on Intel

In the paper, we will introduce how to get useful information from sensor data, and then we will use an Intel Context Sensing SDK example to demonstrate flick detect, shake detect, glyph detect.

Using OSMnx for Graph Analysis of Street Networks in Python

by Muhammad Jarir Kanji

This tutorial will go through the GeoPandas GeoDataFrame, quick and easy visualization of the OSM street networks, with additional helper functions for added customization of the resulting maps using OSMnx, with code samples.

Using PICTools to Decode DICOM Pixel Data

by Miguel Restrepo

This blog will focus on the image component of DICOM files, and specifically on how to access and decode DICOM pixel data using Accusoft’s PICTools.

Using Portable ONNX AI Models in C#

by Keith Pijanowski

In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.

Using Portable ONNX AI Models in Python

by Keith Pijanowski

In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.

Using Pretrained Models to Detect People With OpenCV and ImageAI

by Glenn Prince

In this article, we'll have a look at some of the pretrained models we can use in ImageAI to start detecting people in images.

Using Pre-trained VADER Models for NLTK Sentiment Analysis

by Jayson DeLancey

This article is the third in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article, we'll look at techniques you can use to start doing the actual NLP analysis.

Using Python inside Programming Without Coding Technology (PWCT) environment.

by Mahmoud Samir Fayed

Using Python inside Programming Without Coding Technology (PWCT) environment.

Using Python Scripts from a C# Client (Including Plots and Images)

by Thomas Weller

Demonstrates how to run Python scripts from C#

Using Python to Make a Windows Service

by Zen_Z

How to make a Windows service using Python

Using Python to Solve Computational Physics Problems

by Garbel Nervadof

This article demonstrates how to use Python to solve simple Laplace equation with Numpy library and Matplotlib to plot the solution of the equation. We'll also see that we can write less code and do more with Python.

Using SQLite, Leverage the create_aggregate(), and SQL's Between Operator to Create a Normal Probability Distribution Histogram, or What is More...

by rerhart585

Using SQLite, leverage the create_aggregate(), and SQL's Between Operator to create a Normal Probability Distribution Histogram, or what is more commonly referred to as a Bell Curve.

Using TensorFlow Lite Results with AI Hazard Detection on Android

by Joel Ivory Johnson

In this entry of the AI Hazard Detection on Android series we will interpret the results and provide the relevant information to the user.

Using the Generic Attribute Profile (GATT) in Bluetooth* Low Energy with your Intel® Edison Board

by Intel

This guide will teach you how to use GATT profile, by interfacing with the Texas Instruments SensorTag over Bluetooth* Low Energy.

Using the Live Camera with AI Hazard Detection on Android

by Joel Ivory Johnson

In the next part of the AI Hazard Detection on Android series, we’ll have the application process live data.

Using the Model Optimizer to Convert MXNet Models

by Intel

The Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment environment, performs static model analysis, and adjusts deep learning models for optimal execution on end-point target devices.

Using Visual Studio Code to Develop a Service Inside of a Container

by Dmitriy Repin

Using VS Code to author and debug an any-language service inside of a container running locally, on a cloud VM, or in a Kubernetes pod

Vehicle Detection with TrafficCV

by Allister Beharry

In this article, we have a look at the details of the TrafficCV implementation and the various object detection models to use for detecting vehicles and calculating their speed.

Video Face Transfer with Deep Fakes

by Sergio Virahonda

In the previous article I gave a general overview of deep fakes generation and the elements involved in the process.

Visual Studio 2019 and Python

by Jeffrey T. Fritz

In this video, Jeff shows how to get started with Visual Studio 2019 and Python. He even installs and uses the Intel Python distribution as well, to show how you can use multiple Python distributions and easily change between them in Visual Studio

Visualize Binary Search Tree using Python, Tkinter and Graphviz

by Azim Zahir

Visualizing a Binary Search Tree using Python, Tkinter and Graphviz

Visualizing TensorFlow Lite AI Results on Android

by Joel Ivory Johnson

In the previous installation of this series, a TensorFlow Lite interpreter had examined an image and produced its output. In this article we learn how to interpret these results and create visualizations for them.

Web API for Face Recognition

by Sergey L. Gladkiy

In this article, we’ll wrap the face identification model in a simple Web API, create a client application on the Raspberry Pi, and run the client-server system.

Web Scraping with Python: Part I

by VISWESWARAN1998

Scrape the websites with Python 3

Web Search Engine

by Ștefan-Mihai MOGA

Design and implementation of a Web Search Engine using Text Mining techniques

Web-Apps on Flask: How to Deal With Cyclic Imports

by SimbirSoft

A bit about Python & Flask

Why Use AI for Traffic Speed Detection?

by Allister Beharry

This article series will show you how to build a reasonably accurate traffic speed detector using nothing but Deep Learning, and run it on an edge device like a Raspberry Pi.

Why Use AI on Time-Series Data?

by Sergio Virahonda

This series of articles will guide you through the steps necessary to develop a fully functional time series forecaster and anomaly detector application with AI.

Wind River Helix Device Cloud Application Deployment: POC Retail Vending Machine

by Intel

This article will explore a proof of concept that leverages the capabilities of Helix Device Cloud (HDC) and uses the UP Squared board as the vending machine gateway.

Working with AWS Lambda C++ Runtime as Lambda layer

by P. Erward

How to put the AWS Lambda C++ Runtime into a Lambda layer and how to use it

Working with Bluetooth using Node.js and node-red from Intel Edison

by Grasshopper.iics

Workaround for Sending Bluetooth command from Android Phone to Javascript based programs in Intel Edison

Working with frames in a video using OpenCV and Tkinter.

by Azim Zahir

This article is a demonstration of some of the capabilities of the OpenCV library of Python.

WPF and IronPython Business Rules - Part 2

by beep

A full WPF sample application demonstrating IronPython business rules

Writing an Android GUI using Python (7:Activity)

by li9705

Activity of android application is main entity which likes windows on win32 platform. It has lifecycle, contains gui widgets, and manages them together. Activity can create child activities, with initial parameters, and gets results from them. Here gives an example to operate activities, which code

Writing to a Slack Channel - Python Edition

by Ryan Peden

Writing to a Slack Channel - Python Edition

YACGEN Properties and Layout Customization

by Stein Borge

How to populate properties and customize layout.

You've Got Spam

by Peter Leow

Design and implement a simple AI agent that can learn and fight the relentless spam plague.

ZigZag-Conversion-Problem

by Mr.PoorEnglish

Usage of Linq and anonymous Methods help keep code briefly

Zukuno | A personal assistant for the IoT

by Mitchell J.

Learn how to setup a Raspberry Pi as a wifi router, track public transport with GTFS, install & use Django, and combine CMUsphinx, Webview, and Microsoft's speech API in an Android app. We'll also control Sonos speakers, build a security camera, and consume some API's (including the CodeProject API)