813 Open source projects that are alternatives of or similar to Anogan Keras

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.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Generative Adversarial Networks and Autoencoders for 3D Shapes

Page to PAGE Layout Analysis Tool

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

An implementation of CycleGan using TensorFlow

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Image-to-image translation with conditional adversarial nets

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

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

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

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

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

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

SpecGAN - generate audio with adversarial training

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

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Spectral Normalization for Keras Dense and Convolution Layers

Semantic Image Inpainting

A list of all named GANs!

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

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

Focal Frequency Loss for Generative Models

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

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

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

An AI for Music Generation

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

🎎 InfoGAN: Interpretable Representation Learning

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

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

Generative Adversarial Networks in Keras

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

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

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.

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

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

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

A PyTorch implementation for StyleGAN with full features.

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

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

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

Compute FID scores with PyTorch.

Handwritten Chinese Characters Generation

Awesome GAN for Medical Imaging

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

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

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

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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

Projecting images to latent space with StyleGAN2.

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