Other packages > Find by keyword >

RGAN  

Generative Adversarial Nets (GAN) in R
View on CRAN: Click here


Download and install RGAN package within the R console
Install from CRAN:
install.packages("RGAN")

Install from Github:
library("remotes")
install_github("cran/RGAN")

Install by package version:
library("remotes")
install_version("RGAN", "0.1.1")



Attach the package and use:
library("RGAN")
Maintained by
Marcel Neunhoeffer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-29
Latest Update: 2022-03-29
Description:
An easy way to get started with Generative Adversarial Nets (GAN) in R. The GAN algorithm was initially described by Goodfellow et al. 2014 . A GAN can be used to learn the joint distribution of complex data by comparison. A GAN consists of two neural networks a Generator and a Discriminator, where the two neural networks play an adversarial minimax game. Built-in GAN models make the training of GANs in R possible in one line and make it easy to experiment with different design choices (e.g. different network architectures, value functions, optimizers). The built-in GAN models work with tabular data (e.g. to produce synthetic data) and image data. Methods to post-process the output of GAN models to enhance the quality of samples are available.
How to cite:
Marcel Neunhoeffer (2022). RGAN: Generative Adversarial Nets (GAN) in R. R package version 0.1.1, https://cran.r-project.org/web/packages/RGAN. Accessed 28 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited RGAN R package
View RGAN citation profile
Other R packages that RGAN depends, imports, suggests or enhances
Complete documentation for RGAN
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinyFeedback  
Display User Feedback in Shiny Apps
Easily display user feedback in Shiny apps. ...
Download / Learn more Package Citations See dependency  
spatialCovariance  
Computation of Spatial Covariance Matrices for Data on Rectangles
Functions that compute the spatial covariance matrix for the matern and power classes of spatial mod ...
Download / Learn more Package Citations See dependency  
mxnorm  
Apply Normalization Methods to Multiplexed Images
Implements methods to normalize multiplexed imaging data, including statistical metrics and visuali ...
Download / Learn more Package Citations See dependency  
RGIFT  
Create Quizzes in GIFT Format
Implementation of some functions to create quizzes in the GIFT format. This format is used by sever ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
NPflow  
Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data
Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions modeling orie ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA