534 Open source projects that are alternatives of or similar to Pytorch Looking Fast And Slow

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

Implementation of the Deep Q-learning algorithm to solve MDPs

A Multi-agent Learning Framework

Open source collection of Reinforcement Learning Environments.

tensorflow deep RL for driving a rover around

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Implementation of q-learning using TensorFlow

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Predict/log/learn/update reinforcement learning loop

Machine learning and data science blog.

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

Basic reinforcement learning implementation with tensorflow version 2.0

A selection of state-of-the-art research materials on decision making and motion planning.

List of summer schools in machine learning + related fields across the globe

Some JavaScript works published as demos, mostly ML or DS

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

For deep RL and the future of AI.

Some notebooks

Minimalistic gridworld package for OpenAI Gym

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

GPU Javascript Library for Machine Learning

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

An advanced program in Machine Learning and Deep Learning

Implementing trajectory optimization on bipedal system

Our NIPS 2017: Learning to Run source code

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Notes and comments about Deep Reinforcement Learning papers

Gridworld environments for OpenAI gym.

Tic Tac Toe Machine Learning

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Reinforcement Learning in JavaScript

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Behavior Optimization and Learning for Robots

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

The notes for Math, Machine Learning, Deep Learning and Research papers.

Framework for building algorithms based on FractalAI

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

A power network simulator with a Reinforcement Learning-focused usage.

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Carefully curated resource links for data science in one place