592 Open source projects that are alternatives of or similar to MMD-GAN

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Semantic Image Inpainting

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

TriangleGAN, ACM MM 2019.

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

GAN in Tensorflow to be run via Linux command line

Interactive Image Generation via Generative Adversarial Networks

Chainer implementation of recent GAN variants

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Training a MNIST classifier, and use it to compute inception score (ICP)

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Listing my favorite research papers 📝 from different fields as I read them.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Pytorch implementation of CycleGAN.

[CVPR2020] Adversarial Latent Autoencoders

The Simplest DCGAN Implementation

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Spectral Normalization for Keras Dense and Convolution Layers

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

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

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

Anime Generation

Implementation of Conditional Generative Adversarial Networks in PyTorch

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

StyleGAN Encoder - converts real images to latent space

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Tensorflow-based framework to ease training of generative models

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

Conditional out-of-distribution prediction

My pytorch implementation for GAN

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

Generative Adversarial Networks in PyTorch

Awesome Generative Adversarial Networks with tensorflow

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

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

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

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

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Conditional GAN for Anime face generation.

A stable algorithm for GAN training

DCGAN image generator 🖼️.

Stacked Generative Adversarial Networks

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

Periodic Spatial Generative Adversarial Networks

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Image-to-image translation with conditional adversarial nets

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

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".