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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.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
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
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
💫 Toolkit to help you get started with Spec-Driven Development
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
Get your documents ready for gen AI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
aider is AI pair programming in your terminal
A toolkit for developing and comparing reinforcement learning algorithms.
The complete stack for AI Engineers: framework, runtime and control plane.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
DSPy: The framework for programming—not prompting—language models
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A modular graph-based Retrieval-Augmented Generation (RAG) system