1413 Open source projects that are alternatives of or similar to Pytorch Generative Model Collections

Collection of generative models in Tensorflow

Playing with MNIST. Machine Learning. Generative Models.

Repository for implementation of generative models with Tensorflow 1.x

Generative Adversarial Networks in TensorFlow 2.0

Simple Implementation of many GAN models with PyTorch.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

GANs Implementations in Keras

Awesome Generative Adversarial Networks with tensorflow

A MNIST-like fashion product database. Benchmark 👇

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Pure tensorflow implementation of progressive growing of GANs

Tensorflow implementation of different GANs and their comparisions

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

A collection of arbitrary text to image papers with code (constantly updating)

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

Invert the color of MNIST images with PyTorch

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

The implementation of Relativistic average GAN with Keras

🎎 InfoGAN: Interpretable Representation Learning

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Compute FID scores with PyTorch.

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Discovering Interpretable GAN Controls [NeurIPS 2020]

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Privacy-preserving generative deep neural networks support clinical data sharing

Chainer implementation of Wasserstein GAN

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Image-to-image translation with conditional adversarial nets

SpecGAN - generate audio with adversarial training

Comparison of Generative Models in Tensorflow

A stable algorithm for GAN training

Spectral Normalization for Keras Dense and Convolution Layers

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Projecting images to latent space with StyleGAN2.

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

DCGAN image generator 🖼️.

Using Machine Learning to predict the type of exercise from movement data

Handwritten Chinese Characters Generation

A list of all named GANs!

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

🔥 PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. 🔥 图像翻译，条件GAN，AI绘画

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Awesome GAN for Medical Imaging

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

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

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.