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Starred repositories
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Robust Speech Recognition via Large-Scale Weak Supervision
The Python micro framework for building web applications.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
A natural language interface for computers
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
π OpenHands: Code Less, Make More
The simplest, fastest repository for training/finetuning medium-sized GPTs.
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.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Streamlit β A faster way to build and share data apps.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Official Code for DragGAN (SIGGRAPH 2023)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python packaging and dependency management made easy
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
The fundamental package for scientific computing with Python.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
π€ Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.