1102 Open source projects that are alternatives of or similar to Nice Gan Pytorch

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

Page to PAGE Layout Analysis Tool

Awesome GAN for Medical Imaging

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

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 in Keras

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Composable GAN framework with api and user interface

Image-to-image translation with conditional adversarial nets

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

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

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

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

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

SpecGAN - generate audio with adversarial training

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

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

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

Spectral Normalization for Keras Dense and Convolution Layers

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

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

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

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

Handwritten Chinese Characters Generation

Speech Enhancement Generative Adversarial Network in TensorFlow

A list of all named GANs!

Masking GAN - Image attribute mask generation

Awesome Generative Adversarial Networks with tensorflow

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

An AI for Music Generation

The implementation of Relativistic average GAN with Keras

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

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

An implementation of CycleGan using TensorFlow

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Privacy-preserving generative deep neural networks support clinical data sharing

Compute FID scores with PyTorch.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

🙄 Difficult algorithm, Simple code.

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

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

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

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.

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

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

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