Sample of high-frequency-trading signal maker platform.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Fast and Accurate ML in 3 Lines of Code

A PyTorch Lightning template to try out a wide range of ideas on the Ubiquant Market Prediction competition without modifying any code!

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

Recommendation algorthm including Feature Enginnering，collaborative filtering

Performance analysis of predictive (alpha) stock factors

This is a sample of high frequency signals

Benchmark Dataset of Limit Order Book in China Markets

Research on Factor Models, Alpha Generation etc

Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio management and optimization.

Automatic factor mining and constructing - auto strategy imp

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Jupyter notebooks for analyzing crypto data

Portfolio optimization with deep learning.

differential Sharpe ratio

📈 如何用深度强化学习自动炒股

For trading. Please star.

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 J…

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目，实现中国象棋。

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

Un-official implementation of MoveNet from Google

A PyTorch port of Google Movenet (inference only)

A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"