474 Open source projects that are alternatives of or similar to Ctgan

Benchmarking synthetic data generation methods.

Generative adversarial training for generating synthetic tabular data.

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

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

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

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

A browser extension that fills registration forms with randomly but consistently generated fake data.

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

Tensorflow implementation of 3D Generative Adversarial Network.

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

A Go library for working with Table Schema.

things I help(ed) to build

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Generate Cartoon Images using Generative Adversarial Network

A full pipeline AutoML tool for tabular data

gail, infogail, hierarchical gail implementations

Create Anime Characters with MakeGirlsMoe

Implementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow

Generative Adversarial Networks in PyTorch

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

Data generator command-line tool and library. Create JSON, CSV, XML data from templates.

A lightweight library for generating text tables.

An extremely simple generative adversarial network, built with TensorFlow

GAN in Tensorflow to be run via Linux command line

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Applied Deep Learning (2019 Spring) @ NTU

[CVPR2020] Adversarial Latent Autoencoders

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"

The simplest implementation toward the idea of Re-cycle GAN

Domain adaptation networks for digit recognitioning

A Swift Data Table package, display grid-like data sets in a nicely formatted table for iOS. Subclassing UICollectionView that allows ordering, and searching with extensible options.

Generative Adversarial Network with Weight Normalization + ResNet

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

Tutorial on GANs

Colorization of grayscale images using CycleGAN in TensorFlow.

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

A modern PyTorch implementation of SRGAN

Lagrangian VAE

A toolbox for differentially private data generation

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

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

TriangleGAN, ACM MM 2019.

PyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.

Unofficial implementation of StyleGAN's generator

The Simplest DCGAN Implementation

read rows from google spreadsheet with google's sheets api

Keras implementation of 3D Generative Adversarial Network.

Improving Document Binarization via Adversarial Noise-Texture Augmentation

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

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

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

Showcasing various fun adventures with GANs

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Generate text boxes from input words with a GAN.