545 Open source projects that are alternatives of or similar to Genegan

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

SpecGAN - generate audio with adversarial training

videos, lectures, blogs for Deep Learning

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

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

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

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

Given a number of input images, concatenate all images to produce a panoramic image using invariant features.

Cloudinary Java Client Library

A Svelte component to crop images with easy interactions

Handwritten Chinese Characters Generation

Give a portrait face, move the gaze up

Cloudinary components library for Vue.js application, for image and video optimization.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Pixel sorting tool for Python

chainer implementation of pix2pix

Compute FID scores with PyTorch.

A web porting for NVlabs' StyleGAN.

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

Generative Adversarial Networks in Keras

A large-scale face dataset for face parsing, recognition, generation and editing.

GANs for time series generation in pytorch

Awesome GAN for Medical Imaging

📷 Glitchify images and GIF - with highly customizable options!

Nimp - Node-based image manipulation program.

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

Semantic Image Inpainting

Dali is an image blur library for Android. It contains several modules for static blurring, live blurring and animations.

Color splash effects using Deep Learning

Projecting images to latent space with StyleGAN2.

Composable GAN framework with api and user interface

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

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

GAAL-based Outlier Detection

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

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

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

An image loader module for nuxt.js that allows you to configure image style derivatives.

🎨💪 Modern, modular paint and more! (pre-alpha, not much done yet)

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

C++ Implementation of PyTorch Tutorials for Everyone

Spectral Normalization for Keras Dense and Convolution Layers

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

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

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

The implementation of Relativistic average GAN with Keras

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

A General Purpose Image Manipulation Tool

Conversational AI Reading Materials

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