A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

A toolkit for developing and comparing reinforcement learning algorithms.

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

基于Python的开源量化交易平台开发框架

Python sync/async framework for Interactive Brokers API

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

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

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

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

Deep Q-learning driven stock trader bot

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

中国的Quant相关资源索引

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)i…

xgboost Extension for Easy Ranking & TreeFeature

A Tensorflow implementation of QANet for machine reading comprehension

Tensorflow tutorial from basic to hard

Automatically exported from code.google.com/p/word2vec

Environment for reinforcement-learning algorithmic trading models

Time Series Classification Benchmark with LSTM, VGG, ResNet

Computation using data flow graphs for scalable machine learning

Models and examples built with TensorFlow

Mask RCNN in TensorFlow