Kismuz/btgym
quality grade D, 47 out of 100Scalable, event-driven, deep-learning-friendly backtesting library
- stars
- 1.0k
- stars gained this week
- +1this week
- forks, open issues and contributors
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
663 results
Scalable, event-driven, deep-learning-friendly backtesting library
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
TensorFlow implementation of Deep Reinforcement Learning papers
Chess reinforcement learning by AlphaGo Zero methods.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Deep Reinforcement Learning for Keras.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
An environment to high-frequency trading agents under reinforcement learning
Applying Reinforcement Learning in Quantitative Trading
playing idealized trading games with deep reinforcement learning
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Trading with recurrent actor-critic reinforcement learning
A simple, easy, customizable Gymnasium environment for trading.
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Deep Reinforcement Learning based Trading Agent for Bitcoin
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
24,535 repositories in the index in total.