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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: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Robust Speech Recognition via Large-Scale Weak Supervision
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A Gradio web UI for Large Language Models.
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.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A generative speech model for daily dialogue.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
A high-throughput and memory-efficient inference and serving engine for LLMs
Automated nginx proxy for Docker containers using docker-gen
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Convert Machine Learning Code Between Frameworks
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.