A toolkit for developing and evaluating controllers and reinforcement learning algorithms for soft robots

Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository

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

Implementations of recent research prototypes/demonstrations using MONAI.

A simple C++11 Thread Pool implementation

An Invitation to 3D Vision: A Tutorial for Everyone

A handbook for ML built on answers.

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Relevant papers in Continual Learning

An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments

Deep human action recognition and pose estimation

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

A TensorFlow implementation of Baidu's DeepSpeech architecture

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

Prioritized Experience Replay (PER) implementation in PyTorch

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

All header files from numerical recipes. 3rd Edition.

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Hands-on Deep Reinforcement Learning, published by Packt

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Extract receipt info

💫 Industrial-strength Natural Language Processing (NLP) in Python

[BMVC'19] Tracking Holistic Object Representations

Tensorforce: a TensorFlow library for applied reinforcement learning

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code