Popular GitHub Repositories for Java Graph Library

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

?「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro！强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE，帮助Java项目解决80%重复工作，让开发更关注业务，提高开发效率、节省成本，同时又不失灵活性

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

? Industrial-strength Natural Language Processing (NLP) in Python

Cross-platform, customizable ML solutions for live and streaming media.

Agno is a lightweight library for building Multimodal Agents. It exposes LLMs as a unified API and gives them superpowers like memory, knowledge, tools and reasoning.

The official Python library for the OpenAI API

The fastai deep learning library

Deezer source separation library including pretrained models.

Graph Neural Network Library for PyTorch

? Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

A WebGL accelerated JavaScript library for training and deploying ML models.

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

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

Python package built to ease deep learning on graph, on top of existing DL frameworks.