855 Open source projects that are alternatives of or similar to Anogan Tf

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

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

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

GAN in Tensorflow to be run via Linux command line

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

Unsupervised anomaly detection with generative model, keras implementation

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Semantic Image Inpainting

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

Interactive Image Generation via Generative Adversarial Networks

DCGAN image generator 🖼️.

Awesome Generative Adversarial Networks with tensorflow

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.

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

The Simplest DCGAN Implementation

Image-to-image translation with conditional adversarial nets

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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

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

A stable algorithm for GAN training

A curated list of awesome anomaly detection resources

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

Projecting images to latent space with StyleGAN2.

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

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

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

Collection of generative models in Pytorch version.

Chainer implementation of Wasserstein GAN

Spectral Normalization for Keras Dense and Convolution Layers

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Periodic Spatial Generative Adversarial Networks

Privacy-preserving generative deep neural networks support clinical data sharing

Code for GAN2Shape (ICLR2021 oral)

Deep Learning sample programs using PyTorch in C++

Handwritten Chinese Characters Generation

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

A list of all named GANs!

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

Awesome GAN for Medical Imaging

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

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

SpecGAN - generate audio with adversarial training

Tensorflow implementation of different GANs and their comparisions

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

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

Focal Frequency Loss for Generative Models

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

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

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

DCGAN face generator 🧑.

Page to PAGE Layout Analysis Tool

A PyTorch implementation for StyleGAN with full features.

A collection of arbitrary text to image papers with code (constantly updating)

A DCGAN that generate Cat pictures 🐱‍💻

🎎 InfoGAN: Interpretable Representation Learning

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.