823 Open source projects that are alternatives of or similar to Gan2shape

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

Invert the color of MNIST images with PyTorch

Applied Deep Learning (2019 Spring) @ NTU

Keras implementation of 3D Generative Adversarial Network.

Showcasing various fun adventures with GANs

[CVPR2020] Adversarial Latent Autoencoders

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Pytorch deep learning face frontalization model

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Code for deep generative prior (ECCV2020 oral)

A modern PyTorch implementation of SRGAN

DCGAN image generator 🖼️.

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Focal Frequency Loss for Generative Models

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

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

Synthetic Data Generation for tabular, relational and time series data.

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

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

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

T2F: text to face generation using Deep Learning

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

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

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

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.

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

Awesome GAN for Medical Imaging

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

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

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

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.

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

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

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

An AI for Music Generation

Composable GAN framework with api and user interface

An implementation of CycleGan using TensorFlow

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

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

Compute FID scores with PyTorch.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Projecting images to latent space with StyleGAN2.

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

Stochastic Adversarial Video Prediction

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Awesome Generative Adversarial Networks with tensorflow

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

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