AI Agent Skills

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

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…

A toolkit for making real world machine learning and data analysis applications in C++

⚙️🦀 Build modular and scalable LLM Applications in Rust

Simple and Distributed Machine Learning

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

Learn how to develop, deploy and iterate on production-grade ML applications.

Web data for AI applications

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

AdalFlow: The library to build & auto-optimize LLM applications.

Easiest and laziest way for building multi-agent LLMs applications.

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.