Chronos: Pretrained Models for Time Series Forecasting
AI Open Source
Hand-picked AI open-source projects on GitHub worth following: LLMs, agents, RAG, local deployment, image and speech… 1056 projects so far.
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All 1056🧠 Large Language Models 26🤖 AI Agents 166🧩 App Development Platforms 23📚 RAG & Knowledge Bases 46💬 Chat UIs & Clients 42🖥️ Local Inference & Deployment 87👨💻 AI Coding 99🛠️ Frameworks & SDKs 48🔌 MCP & Tool Ecosystem 35🎨 Image Generation 25🎬 Video Generation 17🎙️ Speech & Audio 43👁️ Computer Vision 28📄 Document Parsing & Scraping 25🗄️ Vector Databases 25🏋️ Training, Fine-Tuning & MLOps 76🧪 Evaluation, Observability & Safety 82🚪 API Gateways & Proxies 12🔎 Search & Deep Research 15⚙️ Deep Learning Libraries 57🏷️ Data & Annotation 32🔬 Industry & Science AI 35⚡ Productivity Tools 12
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
SWE-bench: Can Language Models Resolve Real-world Github Issues?
A simple SWE-style browser+desktop agent framework that achieves SOTA results on long-horizon CUA tasks
Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc
A Cloud Native Batch System (Project under CNCF)
A system for quickly generating training data with weak supervision
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the
🐢 Open-Source Evaluation & Testing library for LLM Agents
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Democratizing Reinforcement Learning for LLMs
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Apache Maka (Incubating) is a high-performance agent workspace that keeps a complete record of everything it did.
A PyTorch native platform for training generative AI models
PyTorch 原生的大模型后训练库。
Google DeepMind 的 Gemma 开放模型库，含推理与微调示例。
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Model interpretability and understanding for PyTorch
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org