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an-application-of-deep-reinforcement-learning-to-algorithmic-trading

Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learning to Algorithmic Trading"

antimoneylaunderingdetectionwithgnn

Anti Money Laundering Detection using Graph Attention Network

cchess-zero

AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目，实现**象棋。

chinesechess-alphazero

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

darts

Differentiable architecture search for convolutional and recurrent networks

darts-1

A python library for easy manipulation and forecasting of time series.

darts-2

Deep-learning Augmented RNA-seq analysis of Transcript Splicing

darts-3

Differentiable architecture search for convolutional and recurrent networks

darts-4

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

darts-capsulenet-tensorflow-eager

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-trading-with-predictable-returns

Reinforcement Learning framework to make synthetic experiments in the financial domain

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.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

finrl

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

finrl-meta

FinRL­-Meta: A Universe for Data­-Driven Financial Reinforcement Learning. 🔥

flexible-routing

A project to assess the costs of flexible vehicle routing strategies

gym

A toolkit for developing and comparing reinforcement learning algorithms.

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

multi-gnn

Multi-GNN architectures for Anti-Money Laundering.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

numpy-ml

Machine learning, in numpy

pc-darts

PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

pcdarts-tf2

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.