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🤗 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
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
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.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
⚡ A Fast, Extensible Progress Bar for Python and CLI
A high-throughput and memory-efficient inference and serving engine for LLMs
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Open standard for machine learning interoperability
Datasets, Transforms and Models specific to Computer Vision
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Fast and memory-efficient exact attention
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Running large language models on a single GPU for throughput-oriented scenarios.
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A PyTorch implementation of EfficientNet
🚀 Build and manage real-life ML, AI, and data science projects with ease!
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.