There are 389 repositories under reinforcement-learning topic.
List of Computer Science courses with video lectures.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Python Implementation of Reinforcement Learning: An Introduction
Machine learning, in numpy
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
TensorFlow Tutorials with YouTube Videos
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
StarCraft II Learning Environment
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Trax — Deep Learning with Clear Code and Speed
Build your neural network easy and fast, 莫烦Python中文教学
A collection of machine learning examples and tutorials.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
A curated list of awesome self-supervised methods
Deep Reinforcement Learning for Keras.
A course in reinforcement learning in the wild
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Repo for the Deep Reinforcement Learning Nanodegree program
Reading list for research topics in multimodal machine learning
repository to research & share the machine learning articles
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms