dmlc / xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
dmlc / xgboost
h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
AlphaGBM / skills
Bring realtime market data and research workflows into Claude Code, Cursor & beyond — 29 open-source Skills for stocks, options and commodities.
qusong0627 / QuantMind
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。
skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
lightgbm-org / LightGBM
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.
catboost / catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
microsoft / SynapseML
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
SeldonIO / MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
perpetual-ml / perpetual
Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
AlphaGBM / investment-masters
Distill investment wisdom from Buffett, Dalio, Soros, Marks & more — 15 masters' methodologies + 13F tracking, built for AI agents.
87owo / PYAS
A hybrid Windows endpoint security platform powered by machine learning, YARA rules, cloud analysis, and kernel-level behavioral protection.
liuxuegpt / IGWO-LightGBM-Concrete
Concrete compressive strength prediction GUI based on IGWO-LightGBM.
00200200 / repro-lens
Static reproducibility checks, experiment replay, and verification for ML pipelines.