647 Open source projects that are alternatives of or similar to Tensor2tensor

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

ROS 2 enabled Machine Learning algorithms

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

Flappy Bird AI using Evolution Strategies

Coding Demos from the School of AI's Move37 Course

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Python Implementation of Reinforcement Learning: An Introduction

A Python interface for reinforcement learning environments

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

搜索所有中文NLP数据集，附常用英文NLP数据集

Implementation of Dual Learning NMT on PyTorch

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

A repo for data science related questions and answers

Resources, papers, tutorials

An overview of the AI-as-a-service landscape

in progress

Complete-Life-Cycle-of-a-Data-Science-Project

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Machine Translation for Africa

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Unity Machine Learning Agents Toolkit

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

An open source framework for research in Embodied-AI from AI2.

Teach a Quadcopter How to Fly!

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Deep Reinforcement Learning (DRL) agents applied to medical images

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Clone of OpenAI's Spinning Up in PyTorch

Fast and customizable text tokenization library with BPE and SentencePiece support

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Safe reinforcement learning with stability guarantees

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Julia code for the book Reinforcement Learning An Introduction

A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning

C51-DDQN in Keras

Reinforcement Learning in Keras on VizDoom

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

Deep Neuroevolution

A comprehensive autonomous decentralized systems framework for AI control architects.

A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

A PyTorch Library for Reinforcement Learning Research

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)