398 Open source projects that are alternatives of or similar to Gan Weight Norm

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

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

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.

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Spectral Normalization for Keras Dense and Convolution Layers

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

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

Unsupervised anomaly detection with generative model, keras implementation

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

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Text to image synthesis using thought vectors

Privacy-preserving generative deep neural networks support clinical data sharing

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

Disentangled Makeup Transfer with Generative Adversarial Network

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

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

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

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

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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

Give a portrait face, move the gaze up

Software that can autocomplete sketches as the user starts drawing.

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

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

Tensorflow implementation of generative adversarial imitation learning

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

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

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

Personalized Fashion Recommendation and Generation

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

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

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

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

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

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

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

Page to PAGE Layout Analysis Tool

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

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

DCGAN image generator 🖼️.

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

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

C++ Implementation of PyTorch Tutorials for Everyone

Anime Generation

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

Handwritten Chinese Characters Generation

The implementation of Relativistic average GAN with Keras

Pytorch deep learning face frontalization model

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Learning kernels to maximize the power of MMD tests

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Focal Frequency Loss for Generative Models

GANs for time series generation in pytorch