988 Open source projects that are alternatives of or similar to Trading Gym

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

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

Unreal environments for reinforcement learning

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

Applying Reinforcement Learning in Quantitative Trading

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

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

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

Basic reinforcement learning implementation with tensorflow version 2.0

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.

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

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

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

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)

Scala Backtesting + Oanda REST API Trading Framework built on top of Akka/Spray

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

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

tensorflow deep RL for driving a rover around

Some JavaScript works published as demos, mostly ML or DS

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

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

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

Behavior Optimization and Learning for Robots

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

Application of machine learning to the Coinbase (GDAX) orderbook

Java Future trader CTP FEMAS XTP

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

Implementation of the Deep Q-learning algorithm to solve MDPs

Implementation of q-learning using TensorFlow

Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch

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

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

Reinforcement Learning Environment for CARLA Autonomous Driving Simulator

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

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

For deep RL and the future of AI.

Workout-Tracking app built in ES6 using react, flux and ImmutableJS

Some notebooks

Framework for building algorithms based on FractalAI

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

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

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

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

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

An advanced crypto trading bot written in Python

Using deep reinforcement learning to tackle the game 2048.

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.

Free python/telegram bot for easy execution and surveillance of crypto trading plans on multiple exchanges.

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

Conversational AI Reading Materials

Official Python library for Alice Blue API trading

A charing application to download, plott and analyse securities, indicators, strategies and trading records