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This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

The deep learning framework to pretrain and finetune AI models.

This repository provides tutorial code for deep learning researchers to learn PyTorch. In the tutorial, most of the models were implemented with less than 30 lines of code. Before starting this tutorial, it is recommended to finish Official Pytorch Tutorial.

All yandex dist links went bad, you can download the model from the

深度学习入门教程, 优秀文章, Deep Learning Tutorial

New: Please check out img2img-turbo repo that includes both pix2pix-turbo and CycleGAN-Turbo. Our new one-step image-to-image translation methods can support both paired and unpaired training and produce better results by leveraging the pre-trained StableDiffusion-Turbo model.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

★★★ NEW: StyleGAN2-ADA-PyTorch is now available; see the full list of versions here ★★★

On some tasks, decent results can be obtained fairly quickly and on small datasets. For example, to learn to generate facades (example shown above), we trained on just 400 images for about 2 hours (on a single Pascal Titan X GPU).

This repository is a collection of tutorials for MIT Deep Learning courses. More added as courses progress.

Provided docker image is based on NGC PyTorch repository. To quickly try out visualizer in Docker, run the following:

This round of limited time update is coming to an end, the warehouse will enter the Archieve state, please know

TensorFlow is an open source software library for numerical computation using data flow graphs. In other words, the best way to build deep learning models.

PyTorch implementations of Generative Adversarial Networks.

Am I missing your favorite model? Is there something that could be cleaner / less confusing? Did I mess something up?

The framework now supports the restoration of high-resolution input.

You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title here.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

(this list is no longer maintained, and I am not sure how relevant it is in 2020)