7180 Open source projects that are alternatives of or similar to Dragan

[CVPR2020] Adversarial Latent Autoencoders

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

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

Spectral Normalization for Keras Dense and Convolution Layers

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

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..

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

The implementation of Relativistic average GAN with Keras

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

Semantic Image Inpainting

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

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

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

On the "steerability" of generative adversarial networks

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

Composable GAN framework with api and user interface

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Solve captcha without manually labeling a training set

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

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

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

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

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

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

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Discovering Interpretable GAN Controls [NeurIPS 2020]

Privacy-preserving generative deep neural networks support clinical data sharing

DCGAN image generator 🖼️.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

Projecting images to latent space with StyleGAN2.

Periodic Spatial Generative Adversarial Networks

A list of all named GANs!

Code for "A-NICE-MC: Adversarial Training for MCMC"

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

Handwritten Chinese Characters Generation

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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

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

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

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Awesome GAN for Medical Imaging

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

This repository contains the source code for the paper First Order Motion Model for Image Animation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

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

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

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

A repository to keep track of all the code that I end up writing for my blog posts.

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

StarNet

Unsupervised learning and generative models in python/pytorch.

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/