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An opinionated list of awesome Python frameworks, libraries, software and resources.
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
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
🦜🔗 Build context-aware reasoning applications
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
The official gpt4free repository | various collection of powerful language models
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Specify what you want it to build, the AI asks for clarification, and then builds it.
A natural language interface for computers
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A Gradio web UI for Large Language Models.
Making large AI models cheaper, faster and more accessible
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos ma…
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic…
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Code and documentation to train Stanford's Alpaca models, and generate the data.