Muon is an optimizer for hidden layers in neural networks

Integrate the DeepSeek API into popular softwares

An elegant PyTorch deep reinforcement learning library.

Model Context Protocol Servers

[WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"

缠中说禅技术分析工具；缠论；股票；期货；Quant；量化交易

[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.

这是一个okx期货量化交易机器人（目前只支持做多，也可以根据自己的情况更换交易所），使用的策略是supertrend，并且拥有企业微信的推送功能

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Stock Price Prediction using Machine Learning Techniques

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Easily migrate your codebase from one framework or language to another.

中文整理的强化学习资料（Reinforcement Learning）

COIN-OR Linear Programming Solver

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

Hybrid Models for Learning to Branch (NeurIPS 2020)

Python interface for the SCIP Optimization Suite

Linear optimization software

A C++ evolutionary computation framework to build parallel stochastic optimization solvers

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

🔎 互联网内推信息（社招、校招、实习）

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