Topics / #generative-adversarial-network

Generative-adversarial-network projects on GitHub

GAN architectures where generator and discriminator networks compete during training.

As of October 17, 2026, the most-starred Generative-adversarial-network projects on GitHub are annotated_deep_learning_paper_implementations (67.6K stars), DragGAN (35.7K stars) and pytorch-tutorial (32.5K stars). GitHub.Locker tracks 20 Generative-adversarial-network repositories with 416.8K stars combined. The fastest-growing on October 16 was pytorch-tutorial, with +7 stars in a day.

20Projects

416.8KStars in total

+26Stars in a day

Browse in the catalog →github.com/topics/generative-adversarial-network ↗

Hot right now

Most stars gained in a day · Oct 16

pytorch-tutorial

yunjey/pytorch-tutorial · ★ 32.5K

This is a collection of PyTorch tutorial code for deep learning researchers, covering models from basics to advanced topics, each implemented in under 30 lines of code where possible.

pytorch-CycleGAN-and-pix2pix

junyanz/pytorch-CycleGAN-and-pix2pix · ★ 25.3K

Open-source PyTorch implementations of two classic image-to-image translation models: CycleGAN and pix2pix. They turn images from one domain into another, like horses into zebras or building label maps into photos.

pytorch-book

chenyuntc/pytorch-book · ★ 12.8K

This is the companion code repository for the Chinese book 'Deep Learning Framework PyTorch: Introduction and Practice', covering PyTorch basics and fun projects like neural talk, poem writing, anime face generation, and style transfer.

lama

advimman/lama · ★ 10.3K

LaMa is an AI image inpainting model with its research code: it removes unwanted objects and fills in large missing regions of photos using Fourier convolutions, staying reliable even at high resolutions. It is the official code of a WACV 2022 paper.

The all-time top

20 projects · by stars

#1 · labmlai/annotated_deep_learning_paper_implementations
annotated_deep_learning_paper_implementations
A collection of 60+ PyTorch implementations of deep learning papers, each annotated with side-by-side explanatory notes so you can read the code and the math/explanation together.
67.6K
#2 · XingangPan/DragGAN
DragGAN
DragGAN is the official implementation of the SIGGRAPH 2023 paper that lets you interactively drag points on a GAN-generated image to move or reshape objects within it.
35.7K
#3 · yunjey/pytorch-tutorial
pytorch-tutorial
This is a collection of PyTorch tutorial code for deep learning researchers, covering models from basics to advanced topics, each implemented in under 30 lines of code where possible.
32.5K

4
pytorch-lightning
31.4KLightning-AI/pytorch-lightning · Python
PyTorch Lightning is a deep learning framework for pretraining and finetuning AI models of any size, scaling from a single CPU to thousands of GPUs or TPUs without changing your model code.
5
so-vits-svc
28.1Ksvc-develop-team/so-vits-svc · Python
An open-source AI singing voice conversion (SVC) framework: it trains PyTorch models that make one voice sing the lines of another, using SoftVC speech features fed into VITS with an NSF-HiFiGAN vocoder.
6
pytorch-CycleGAN-and-pix2pix
25.3Kjunyanz/pytorch-CycleGAN-and-pix2pix · Python
Open-source PyTorch implementations of two classic image-to-image translation models: CycleGAN and pix2pix. They turn images from one domain into another, like horses into zebras or building label maps into photos.
7
DeepLearning
17.8KMikoto10032/DeepLearning · Jupyter Notebook
A Chinese-language deep learning tutorial — a huge curated collection of links to courses, books, lecture notes, surveys and code, taking you from math basics through CNNs, GANs, RNNs and GNNs to Kaggle practice and interview prep.
8
awesome-tensorflow
17.5Kjtoy/awesome-tensorflow
A curated list of TensorFlow experiments, libraries, and projects — an index of resources for learning and building with TensorFlow, inspired by awesome-machine-learning.
9
PyTorch-GAN
17.5Keriklindernoren/PyTorch-GAN · Python
It is a collection of PyTorch implementations of GAN varieties from research papers: 32 models ranging from the original GAN and DCGAN to CycleGAN, StarGAN and WGAN-GP.
10
Awesome-pytorch-list
16.7Kbharathgs/Awesome-pytorch-list
A curated, large-scale list of PyTorch-related projects on GitHub: models, libraries, tools, tutorials, books and paper implementations organized by category.
11
numpy-ml
16.3Kddbourgin/numpy-ml · Python
A collection of machine learning algorithms — Gaussian mixture models, HMMs, neural networks, tree ensembles, reinforcement learning agents and more — implemented from scratch in pure NumPy.
12
Bringing-Old-Photos-Back-to-Life
15.7Kmicrosoft/Bringing-Old-Photos-Back-to-Life · Python
It's an AI old-photo restoration tool from Microsoft Research and City University of Hong Kong: deep learning models that remove scratches, fix global degradation and enhance faces in damaged photos. It's the official PyTorch implementation of a CVPR 2020 oral paper, later extended in TPAMI 2022.
13
the-gan-zoo
14.7Khindupuravinash/the-gan-zoo · Python
A curated catalog of every uniquely-named GAN (Generative Adversarial Network) variant that has appeared in research, listing each one's acronym with its paper title and, when available, a link to the official code.
14
CycleGAN
12.9Kjunyanz/CycleGAN · Lua
CycleGAN is the original Torch implementation of 'Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks', letting you turn horses into zebras, apply painting styles like Monet or Van Gogh to photos, and perform similar image translations without needing paired before/after training images.
15
pytorch-book
12.8Kchenyuntc/pytorch-book · Jupyter Notebook
This is the companion code repository for the Chinese book 'Deep Learning Framework PyTorch: Introduction and Practice', covering PyTorch basics and fun projects like neural talk, poem writing, anime face generation, and style transfer.
16
ganhacks
11.6Ksoumith/ganhacks
A short cheat sheet of practical tips and tricks for training Generative Adversarial Networks (GANs), originally put together as a handout from the 'How to Train a GAN?' session at NIPS 2016.
17
stylegan2
11.2KNVlabs/stylegan2 · Python
This is the official TensorFlow implementation of StyleGAN2, a generative adversarial network from NVIDIA research that produces state-of-the-art, high-quality synthetic images and fixes characteristic artifacts found in the original StyleGAN.
18
pix2pix
10.7Kphillipi/pix2pix · Lua
This is the original Torch/Lua implementation accompanying the pix2pix paper (CVPR 2017), which learns to translate images from one style into another — e.g. label maps to photos, or sketches to shoes — using a conditional GAN.
19
mit-deep-learning
10.5Klexfridman/mit-deep-learning · Jupyter Notebook
This repository collects tutorials, assignments, and competitions from MIT's Deep Learning related courses, covering semantic segmentation, generative adversarial networks, and reinforcement learning for self-driving cars.
20
lama
10.3Kadvimman/lama · Jupyter Notebook
LaMa is an AI image inpainting model with its research code: it removes unwanted objects and fills in large missing regions of photos using Fourier convolutions, staying reliable even at high resolutions. It is the official code of a WACV 2022 paper.