Starred repositories
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
A curated list of awesome Machine Learning frameworks, libraries and software.
A high-throughput and memory-efficient inference and serving engine for LLMs
💫 Toolkit to help you get started with Spec-Driven Development
Scrapy, a fast high-level web crawling & scraping framework for Python.
Get your documents ready for gen AI
The definitive Web UI for local AI, with powerful features and easy setup.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Streamlit — A faster way to build and share data apps.
A collection of design patterns/idioms in Python
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Build multi-agent systems that learn and improve with every interaction.
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…
Python packaging and dependency management made easy
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
DSPy: The framework for programming—not prompting—language models
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
🤗 smolagents: a barebones library for agents that think in code.
An open-source RAG-based tool for chatting with your documents.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
☁️ Build multimodal AI applications with cloud-native stack

