General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
AI ओपन सोर्स प्रोजेक्ट
GitHub पर देखने लायक चुनिंदा AI ओपन-सोर्स प्रोजेक्ट: बड़े भाषा मॉडल, एजेंट, RAG, लोकल डिप्लॉयमेंट, इमेज और आवाज़… अब तक कुल 1056 प्रोजेक्ट।
Cloudflare, Vercel, Netlify आदि पर मुफ़्त डिप्लॉय होने वाले प्रोजेक्ट चाहिए? देखें मुफ़्त डिप्लॉय चयन
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/