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

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Super fast, on-demand and on-the-fly, image processing.

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

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

SpecGAN - generate audio with adversarial training

Conversational AI Reading Materials

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

Facial Expression Editing with Controllable Expression Intensity

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)

Source code of images.weserv.nl, to be used on your own server(s).

videos, lectures, blogs for Deep Learning

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

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

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

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

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

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

Pytorch implementation of MixNMatch

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

Generating Videos with Scene Dynamics. NIPS 2016.

Cloudinary Java Client Library

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

A Svelte component to crop images with easy interactions

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

Handwritten Chinese Characters Generation

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Give a portrait face, move the gaze up

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

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

Awesome Generative Adversarial Networks with tensorflow

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Pixel sorting tool for Python

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

chainer implementation of pix2pix

A curated list of awesome projects which use Machine Learning to generate synthetic content.

Compute FID scores with PyTorch.

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

A web porting for NVlabs' StyleGAN.

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

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

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

T2F: text to face generation using Deep Learning

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

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

GANs for time series generation in pytorch

⚡ Rust/WebAssembly image processing library

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

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

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Tensorflow implementation for Paper "Learning Residual Images for Face Attribute Manipulation"

Deploy a Deep Learning Powered "Magic Cropping Tool" using Pre-Trained Open Source Models

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