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 tasks.
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
QuantMind(量化大脑)开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台,提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析,到通达信深度联动(板块推送/预警雷达/闪电下单)与实盘模拟交易的完整闭环。支持 A股、港股、美股、期货及区块链。可免费商用,系统采用 Docker Compose 一键私有化部署,数据与模型完全本地化,保障策略隐私,功能零门槛无限制。
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Scalable machine 🤖 learning for time series forecasting.
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
A hybrid Windows endpoint security platform powered by machine learning, YARA rules, cloud analysis, and kernel-level behavioral protection.
Concrete compressive strength prediction GUI based on IGWO-LightGBM.
Static reproducibility checks, experiment replay, and verification for ML pipelines.