832 Open source projects that are alternatives of or similar to Gandissect

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Stochastic Adversarial Video Prediction

Everything about Generative Adversarial Networks

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

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

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

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

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

Showcasing various fun adventures with GANs

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

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

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.

Privacy-preserving generative deep neural networks support clinical data sharing

Invert the color of MNIST images with PyTorch

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Applied Deep Learning (2019 Spring) @ NTU

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

The implementation of Relativistic average GAN with Keras

Create Anime Characters with MakeGirlsMoe

The Simplest DCGAN Implementation

An implementation of CycleGan using TensorFlow

Bringing Old Photo Back to Life (CVPR 2020 oral)

Composable GAN framework with api and user interface

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

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

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

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

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.

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

Solve captcha without manually labeling a training set

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

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

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

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

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

Awesome Generative Adversarial Networks with tensorflow

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

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

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

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

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.

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

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

An AI for Music Generation

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

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Generative Adversarial Networks in Keras

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

Compute FID scores with PyTorch.

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

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

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

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