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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
🤗 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
The official gpt4free repository | various collection of powerful language models
Interact with your documents using the power of GPT, 100% privately, no data leaks
🧑🏫 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.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Making large AI models cheaper, faster and more accessible
High-Resolution Image Synthesis with Latent Diffusion Models
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Official Code for DragGAN (SIGGRAPH 2023)
A toolkit for developing and comparing reinforcement learning algorithms.
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.
LlamaIndex is a data framework for your LLM applications
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.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Python packaging and dependency management made easy
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code and documentation to train Stanford's Alpaca models, and generate the data.
OpenMMLab Detection Toolbox and Benchmark