534 Open source projects that are alternatives of or similar to Impala Distributed Tensorflow

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Reinforcement Learning Algorithms

Deep Reinforcement Learning with pytorch & visdom

Advanced Deep Learning with Keras, published by Packt

Aim — a super-easy way to record, search and compare 1000s of ML training runs

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

The Machine Learning Toybox for testing the behavior of autonomous agents.

Scalable, event-driven, deep-learning-friendly backtesting library

Essential Guide to keep up with AI/ML/DL/CV

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Flappy Bird hack using Reinforcement Learning

Trax — Deep Learning with Clear Code and Speed

Implementation of Scheduled Policy Optimization for task-oriented language grouding

My experimentations with Reinforcement Learning in Pytorch

Deep Reinforcement Learning For Sequence to Sequence Models

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Actor-Critic Instance Segmentation (CVPR 2019)

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Simulation of spiking neural networks (SNNs) using PyTorch.

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

🔬 A curated list of awesome machine learning strategies & tools in financial market.

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Codebase for the Summary Loop paper at ACL2020

Quiz & Assignment of Coursera

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Resources to learn more about Machine Learning and Artificial Intelligence

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Reinforcement learning environments with musculoskeletal models

Seoul AI Gym is a toolkit for developing AI algorithms.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

backtrader with DRL ( Deep Reinforcement Learning)

TensorFlow and Deep Learning Tutorials

A gym environment for Stuart Armstrong's model of a treacherous turn.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Cornell Instruction Following Framework

Solutions of Reinforcement Learning, An Introduction

OpenAI Gym environments using DART

A collection of machine learning examples and tutorials.

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Reinforcement Learning Assignment: Easy21

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Efficient Batched Reinforcement Learning in TensorFlow

Attempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Convert sc2 environment to gym-atari and play some mini-games