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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 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.
🦜🔗 The platform for reliable agents.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Web framework for perfectionists with deadlines.
The Python micro framework for building web applications.
A high-throughput and memory-efficient inference and serving engine for LLMs
scikit-learn: machine learning in Python
Clone a voice in 5 seconds to generate arbitrary speech in real-time
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Python packaging and dependency management made easy
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…
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Code and documentation to train Stanford's Alpaca models, and generate the data.
The official Python library for the OpenAI API
Distributed Task Queue (development branch)