459 Open source projects that are alternatives of or similar to Chainer Gan Lib

Awesome Generative Adversarial Networks with tensorflow

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

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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

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

DCGAN image generator 🖼️.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

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

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

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

Repository for implementation of generative models with Tensorflow 1.x

The Simplest DCGAN Implementation

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

Pure tensorflow implementation of progressive growing of GANs

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

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

Interactive Image Generation via Generative Adversarial Networks

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

Semantic Image Inpainting

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

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Improving MMD-GAN training with repulsive loss function

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

Collection of generative models in Pytorch version.

Implementation of Conditional Generative Adversarial Networks in PyTorch

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

GAN in Tensorflow to be run via Linux command line

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

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

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

Simple Implementation of many GAN models with PyTorch.

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

PyTorch implementation of DCGAN, WGAN-GP and SNGAN.

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

Image-to-image translation with conditional adversarial nets

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

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..

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

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

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

Tensorflow implementation of 3D Generative Adversarial Network.

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

TextBox is an open-source library for building text generation system.

DCGAN Implementation using PyTorch in both C++ and Python

Synthetic Data Generation for tabular, relational and time series data.

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Zero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized

Improved WGAN in Pytorch

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Study Friendly Implementation of DCGAN in Tensorflow

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

This repository contains a new generative model of chatbot based on seq2seq modeling.

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".