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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Interact with your documents using the power of GPT, 100% privately, no data leaks
A high-throughput and memory-efficient inference and serving engine for LLMs
Making large AI models cheaper, faster and more accessible
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Python tool for converting files and office documents to Markdown.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/mEkkMXFG
A community-maintained Python framework for creating mathematical animations.
You like pytorch? You like micrograd? You love tinygrad! ❤️
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Write scalable load tests in plain Python 🚗💨
DSPy: The framework for programming—not prompting—language models
Universal LLM Deployment Engine with ML Compilation
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Accelerate your web app development | Build fast. Run fast.
Faker is a Python package that generates fake data for you.
Asynchronous HTTP client/server framework for asyncio and Python
🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing