Thunder-Fire's Stars
Jiangtao-Hao/NSGA-II
Operations-Research-Science/Ebook-Linear_Programming
xianqiu/opt-alg-tutorials
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Skylark0924/Machine-Learning-is-ALL-You-Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
xianhu/LearnPython
以撸代码的形式学习Python
notadamking/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
kh-kim/stock_market_reinforcement_learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
PaddlePaddle/MetaGym
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Rachnog/Deep-Portfolio-Management
Source code for the blog post on the evolution of the asset allocation methods
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
tensorflow/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
TianhongDai/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Ceruleanacg/Personae
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
ljpzzz/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
zhangchuheng123/iQuant
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
TingsongYu/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
gohsyi/trading_strategy
Course project of SJTU EE359 Data Mining (advised by Prof. Bo Yuan), where we use reinforcement learning to decide trading strategy.
AshengLin/FDRNN
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading(http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/07407387.pdf)
nexuslrf/Financial-DataMining
predict future stock price by machine learning algorithms, SJTU EE359 DataMining
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
deependersingla/deep_trader
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
devsisters/DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
nithinsethu/Deep-Direct-Reinforcement-Learning-for-Financial-Signal-Representation-and-Trading
A deep learning model for Financial Signal Representation and Trading