495 Open source projects that are alternatives of or similar to Long-Tail-GAN

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

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

Tensorflow Implementation of DiscoGAN

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

Generative adversarial training for generating synthetic tabular data.

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

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Tutorial on creating your own GAN in Tensorflow

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

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

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

Oh-My-Papers: a Hybrid Context-aware Paper Recommendation System

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

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Chainer implementation of recent GAN variants

A DCGAN to generate anime faces using custom mined dataset

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

A sketch extractor for anime/illustration.

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

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

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]

OpenMMLab Image and Video Editing Toolbox

The Roadmap to Learn Generative Adversarial Networks (GANs)

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

a data science blog

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

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Conditional GAN for generating synthetic tabular data.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

A PyTorch implementation for StyleGAN with full features.

The Simplest DCGAN Implementation

StyleGAN Encoder - converts real images to latent space

[CVPR2020] Adversarial Latent Autoencoders

🎎 InfoGAN: Interpretable Representation Learning

Tutorial on GANs

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

TextBox is an open-source library for building text generation system.

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

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

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

Semantic Image Inpainting

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

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

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

recommender system tutorial with Python

Improving MMD-GAN training with repulsive loss function

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Composable GAN framework with api and user interface