516 Open source projects that are alternatives of or similar to Markov Chain Gan

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

Spectral Normalization for Keras Dense and Convolution Layers

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

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

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

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

Conditional GAN for Anime face generation.

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

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

My pytorch implementation for GAN

Stacked Generative Adversarial Networks

Generative Adversarial Networks in PyTorch

Pytorch implementation of CycleGAN.

Anime Generation

Semantic Image Inpainting

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

Improving MMD-GAN training with repulsive loss function

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

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

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

A stable algorithm for GAN training

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

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

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

TriangleGAN, ACM MM 2019.

[CVPR2020] Adversarial Latent Autoencoders

Tensorflow-based framework to ease training of generative models

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..

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

Bringing Old Photo Back to Life (CVPR 2020 oral)

Research Framework for easy and efficient training of GANs based on Pytorch

A deep generative model library in Theano and Lasagne

C++ Implementation of PyTorch Tutorials for Everyone

Official repository of JSI-GAN (Accepted at AAAI 2020).

PyTorch implementation of Adversarially Learned Inference (BiGAN).

This toolbox is support material for the book on CNN (http://www.convolution.network).

The codes of VAE-GAN model for 3d shape reconstruction from depth data

Compute FID scores with PyTorch.

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

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

The implementation of Relativistic average GAN with Keras

Conversational AI Reading Materials

Composable GAN framework with api and user interface

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

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

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

An implementation of CycleGan using TensorFlow

PyTorch Implementation of DCGAN trained on the CelebA dataset.

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Variational Autoencoder trained by Feature Perceputal Loss

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

Image-to-image translation with conditional adversarial nets

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)