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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.
Stable Diffusion web UI
Command-line program to download videos from YouTube.com and other video sites
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🦜🔗 Build context-aware reasoning applications
Magnificent app which corrects your previous console command.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A feature-rich command-line audio/video downloader
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Robust Speech Recognition via Large-Scale Weak Supervision
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Scrapy, a fast high-level web crawling & scraping framework for Python.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Rich is a Python library for rich text and beautiful formatting in the terminal.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Making large AI models cheaper, faster and more accessible
A Gradio web UI for Large Language Models.
High-Resolution Image Synthesis with Latent Diffusion Models
TensorFlow code and pre-trained models for BERT
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
LlamaIndex is a data framework for your LLM applications
Streamlit — A faster way to build and share data apps.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code and documentation to train Stanford's Alpaca models, and generate the data.