Python Gans

Open-source Python projects categorized as Gans | Edit details

Top 15 Python Gan Projects

  • GitHub repo pytorch-CycleGAN-and-pix2pix

    Image-to-Image Translation in PyTorch

    Project mention: I made a 3d topographic map based on my recent civ6 game | | 2021-08-03

    pix2pix algorithm is used for translating Civ6Maps to heightmaps. Synthesized terrain was rendered in blender.

  • GitHub repo Bringing-Old-Photos-Back-to-Life

    Bringing Old Photo Back to Life (CVPR 2020 oral)

    Project mention: Photo restoration options? | | 2021-10-17 Didn't use it yet but in my to do list.

  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • GitHub repo BigGAN-PyTorch

    The author's officially unofficial PyTorch BigGAN implementation.

    Project mention: [D] Using activity regularization instead of batch norm. | | 2021-04-03

    Tangentially, theoretically you can't use BN in the discriminator for WGAN-GP anyway (assuming that you're using the Gulrajani work) because it breaks the sample independence assumptions of the GP. If you have a relatively structured dataset (eg all faces, all cars, all giraffes, etc.) and no class conditioning, look into StyleGAN2-ADA for the best results. If you have a dataset with a lot of variation and a lot of classes try using the BigGAN repo.

  • GitHub repo contrastive-unpaired-translation

    Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

    Project mention: [D] What's the successor to pix2pixHD | | 2021-01-26
  • GitHub repo gansformer

    Generative Adversarial Transformers

    Project mention: [D] GANs + Transformer = SOTA compositional generator? Compositional Transformers for Scene Generation explained (5-minute summary by Casual GAN Papers) | | 2021-11-24

    Code for found:

  • GitHub repo data-efficient-gans

    [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

    Project mention: What StyleGan model to use for a custom dataset of small size? | | 2021-09-21

    I would like to make a tiny project with GANs using some high quality pictures of a single individual. I am planning to get around 500 of these and then x-flip them, however I am not sure what model I should consider for the training. I have used StyleGan2 ADA for another project which ended quite well, but I had around 14k pictures, here now the training size is much smaller and I was therefore thinking about using DiffAugment which has seemingly promising results with just 100 images.

  • GitHub repo anycost-gan

    [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

    Project mention: Anycost GANs for Interactive Image Synthesis and Editing | | 2021-03-20
  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

  • GitHub repo Fast-SRGAN

    A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

  • GitHub repo cartoonize

    A demo webapp to convert images and videos into cartoon!

    Project mention: A online cartoonizer/vectorizer tool | | 2021-05-06

    this is the git repo:

  • GitHub repo Text-to-Image-Synthesis

    Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

    Project mention: Text to Image generation using path file | | 2021-05-31

    I trained a text to image generation model based on Now I have 2 path files (one for generator , another for discriminator) . How to generate images using this path files?

  • GitHub repo EigenGAN-Tensorflow

    EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

    Project mention: [R] EigenGAN: Layer-Wise Eigen-Learning for GANs | | 2021-04-26


  • GitHub repo co-mod-gan

    [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

    Project mention: Paper explained - Large Scale Image Completion via Co-Modulated Generative Adversarial Networks | | 2021-05-27

    [Full Explanation Post] [Arxiv] [Code]

  • GitHub repo a-PyTorch-Tutorial-to-Super-Resolution

    Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

    Project mention: What subjects in Python do you need to know to tackle Artificial Intelligence? | | 2021-04-13

    Image upscaling might be a good goal to work towards first, and there are probably lots of good tutorials on it. You can follow a tutorial and Google anything from the tutorial that you don't understand. Here's one I found that looks helpful at first glance, and it includes working code:

  • GitHub repo AnimeGAN

    Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper

    Project mention: Generating Anime Images using PyTorch implementation of DCGAN | | 2021-06-05
  • GitHub repo Anime-face-generation-DCGAN-webapp

    A port of my Anime face generation using Pytorch into a Webapp

    Project mention: [PROJECT] I Made an Awesome DCGAN Model, That generates pixel perfect images of Animes! | | 2021-05-08

    Webapp Source code:

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-11-24.

Python Gans related posts


What are some of the best open-source Gan projects in Python? This list will help you:

Project Stars
1 pytorch-CycleGAN-and-pix2pix 16,336
2 Bringing-Old-Photos-Back-to-Life 9,423
3 BigGAN-PyTorch 2,442
4 contrastive-unpaired-translation 1,251
5 gansformer 1,001
6 data-efficient-gans 941
7 anycost-gan 622
8 Fast-SRGAN 473
9 cartoonize 373
10 Text-to-Image-Synthesis 315
11 EigenGAN-Tensorflow 279
12 co-mod-gan 260
13 a-PyTorch-Tutorial-to-Super-Resolution 243
14 AnimeGAN 19
15 Anime-face-generation-DCGAN-webapp 4
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