General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
Projetos de IA de código aberto
Projetos de IA de código aberto do GitHub que vale a pena acompanhar: LLMs, agentes, RAG, implantação local, imagem e voz… 1056 projetos até agora.
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Todos 1056🧠 Grandes modelos de linguagem 26🤖 Agentes de IA 166🧩 Plataformas de desenvolvimento de apps 23📚 RAG e bases de conhecimento 46💬 Interfaces de chat e clientes 42🖥️ Inferência e implantação local 87👨💻 Programação com IA 99🛠️ Frameworks e SDKs 48🔌 MCP e ecossistema de ferramentas 35🎨 Geração de imagens 25🎬 Geração de vídeo 17🎙️ Voz e áudio 43👁️ Visão computacional 28📄 Análise de documentos e scraping 25🗄️ Bancos de dados vetoriais 25🏋️ Treinamento, ajuste fino e MLOps 76🧪 Avaliação, observabilidade e segurança 82🚪 Gateways e proxies de API 12🔎 Busca e pesquisa profunda 15⚙️ Bibliotecas de deep learning 57🏷️ Dados e anotação 32🔬 IA para indústria e ciência 35⚡ Ferramentas de produtividade 12
Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android and browser runtimes. Apache-2.0 SDK.
Robust recipes to align language models with human and AI preferences
Agent Substrate: the core system
Repository for skills to assist AI coding agents with .NET and C#
可移植、可复现的 MLOps 流水线框架。
A terminal window manager that knows what your agents are doing. Tiling panes, workspaces, sessions that survive restarts, and one Inbox for every coding agent.
The Harness of Harnesses • built for RSI: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
Supercharge Your Model Training
The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
Next Generation Agentic Proxy for AI Agents and MCP servers
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment framew
DeepSeek 的 MoE 视觉语言模型。
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.
HNSW 近似最近邻算法的 C++/Python 实现。
NVIDIA cuML: GPU-Accelerated Machine Learning
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Probabilistic time series modeling in Python
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
A Next-Generation Training Engine Built for Ultra-Large MoE Models
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/