1171 Open source projects that are alternatives of or similar to Shapegan

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

Focal Frequency Loss for Generative Models

[CVPR2020] Adversarial Latent Autoencoders

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

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.

Page to PAGE Layout Analysis Tool

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

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

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

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

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

A PyTorch implementation for StyleGAN with full features.

InstaGAN: Instance-aware Image Translation (ICLR 2019)

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

An AI for Music Generation

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

An implementation of CycleGan using TensorFlow

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

The implementation of Relativistic average GAN with Keras

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

Projecting images to latent space with StyleGAN2.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

🎎 InfoGAN: Interpretable Representation Learning

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

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

Semantic Image Inpainting

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

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

Advanced Deep Learning with Keras, published by Packt

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

Human Video Generation Paper List

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Composable GAN framework with api and user interface

Generative Adversarial Networks in Keras

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

Image-to-image translation with conditional adversarial nets

Compute FID scores with PyTorch.

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

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

SpecGAN - generate audio with adversarial training

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

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

Spectral Normalization for Keras Dense and Convolution Layers

A Pytorch implementation for the ZeroSpeech 2019 challenge.

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

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

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

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

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

A list of all named GANs!

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

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

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

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

Discovering Interpretable GAN Controls [NeurIPS 2020]