1520 Open source projects that are alternatives of or similar to Hypergan

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.

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

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

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

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

A stable algorithm for GAN training

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

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

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

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

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

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Solve captcha without manually labeling a training set

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

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

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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

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

T2F: text to face generation using Deep Learning

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

PHP-ML - Machine Learning library for PHP

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

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

This repository contains a new generative model of chatbot based on seq2seq modeling.

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

Interactive Image Generation via Generative Adversarial Networks

Generative Adversarial Networks in Keras

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

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

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

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.

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

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.

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

C++ Implementation of PyTorch Tutorials for Everyone

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

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

An implementation of CycleGan using TensorFlow

Awesome Generative Adversarial Networks with tensorflow

An AI for Music Generation

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Code for deep generative prior (ECCV2020 oral)