scikit-learn: machine learning in Python

PyTorch Tutorial for Deep Learning Researchers

基于Python的开源量化交易平台开发框架

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…

Python Backtesting library for trading strategies

DeepSeek Coder: Let the Code Write Itself

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

An open source python library for automated feature engineering

Distributed Evolutionary Algorithms in Python

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易

An unnecessarily tiny implementation of GPT-2 in NumPy.

The machine learning toolkit for time series analysis in Python

Systematic Trading in python

ruptures: change point detection in Python

Python implementations of the Boruta all-relevant feature selection method.

open-source feature selection repository in python

OpenFE: automated feature generation with expert-level performance

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

公众号: 机器学习荐货情报局 所有代码

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

Calculate predictive causality between time series using information-theoretic techniques

Time Series Forecasting with LightGBM

Content for the SciPy 2015 Cython tutorial: http://www.scipy2015.scipy.org/ehome/115969/289057/?&

Pythonic interface and helpers for the Thomson Reuters Tick History API web service.