🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Models and examples built with TensorFlow

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Making large AI models cheaper, faster and more accessible

TensorFlow code and pre-trained models for BERT

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Let us control diffusion models!

PyTorch Tutorial for Deep Learning Researchers

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Graph Neural Network Library for PyTorch

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Machine learning, in numpy

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

An open-source NLP research library, built on PyTorch.

Fast and Accurate ML in 3 Lines of Code

A PyTorch implementation of the Transformer model in "Attention is All You Need".

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

AlphaFold 3 inference pipeline.

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Implementation of Graph Convolutional Networks in TensorFlow

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Web interface for browsing, search and filtering recent arxiv submissions