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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

protractor

E2E test framework for Angular apps

protractor-cookbook

Examples for using Protractor in various common scenarios.

protractor-cucumber-framework

Cucumber framework plugin for Protractor v3.x

protractor-cucumber-typescript

e2e kickstarter test framework which consists of protractor, cucumber frameworks using typescript lang!

protractor-html-screenshot-reporter

An npm module which provides html reports of your Protractor tests with screenshots

protractor_issue_forbuild-release-e2etest

protractor_tutorial

Tutorial for Testing using Protractor

psvcounter

Tensorflow object detection example to count relief valves on P&IDs by retraining the final layer of the Google SSD Inception V2 model

pyabsa

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

python-datascience

python_ocr_tutorial

This is a tutorial on getting OCR running on a simple web server, using python, flask, tesseract-ocr, and leptonica

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonml

pytorch-from-scratch

Accompanies my article PyTorch From Scratch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pywinauto

Windows GUI Automation with Python

q-a

A dataset containing question and answers along with data from wikipedia

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

rtocsharp-linearregression

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

sagify

Train and deploy machine learning/deep learning models on AWS SageMaker in a few simple steps!

scikit-learn_ml_svm_1

SCIKIT Learn machine Learning wth SVM Algorithm.

scraping-tools-benzinga

self-driving-car

The Udacity open source self-driving car project

shap

A unified approach to explain the output of any machine learning model.

sharplinter

Linting tools for Visual Studio & C#

sianet

A C# deep learning wrapper with CNTK backend