776 Open source projects that are alternatives of or similar to Tensorflow Infogan

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

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

Collection of generative models in Pytorch version.

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

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

Invert the color of MNIST images with PyTorch

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

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

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

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

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

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

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

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

Generative Adversarial Networks in Keras

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

An implementation of CycleGan using TensorFlow

Compute FID scores with PyTorch.

A MNIST-like fashion product database. Benchmark 👇

Semantic Image Inpainting

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

Focal Frequency Loss for Generative Models

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.

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

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

Awesome GAN for Medical Imaging

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

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

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

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

An AI for Music Generation

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Comparison of Generative Models in Tensorflow

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

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

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

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

Image-to-image translation with conditional adversarial nets

SpecGAN - generate audio with adversarial training

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

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

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

Projecting images to latent space with StyleGAN2.

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.

A list of all named GANs!

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

Tensorflow implementation of different GANs and their comparisions

Synthesizing and manipulating 2048x1024 images with conditional GANs

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