475 Open source projects that are alternatives of or similar to gan

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

GAN in Tensorflow to be run via Linux command line

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

Generative Adversarial Networks in TensorFlow 2.0

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

my own deep learning mastery roadmap

Tensorflow-based framework to ease training of generative models

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

CycleGAN based neural network architecture to change the gender of a person’s face

Pytorch implementation of CycleGAN.

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

Generate a summarized description of a body of text

Benchmarking synthetic data generation methods.

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

My pytorch implementation for GAN

Listing my favorite research papers 📝 from different fields as I read them.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

cRNN-GAN to generate music by training on instrumental music (midi)

This repository contains a new adversarial training method for Generative Conversational Agents

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

🤖A list of resources to help anyone getting started with GANs 🤖

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

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Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

基于Tensorflow2开发的优秀扩展包及项目

Deriving Neural Architectures from Sequence and Graph Kernels

Designed to take you from zero experience to GANs within a week.

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

Synthetic Data Generation for mixed-type, multivariate time series.

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

Tensorflow Implementation of DiscoGAN

Two-stage GANs that generate fingerstyle guitarist images from audio.

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

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

Unofficial pytorch implementation of algorithms for domain adaptation

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Path Planning using Generative Adversarial Network (GAN)

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

🐳 GAN implemented as Tensorflow 2.X

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

StyleGAN Encoder - converts real images to latent space