mVARbox is a Matlab toolbox for uni/multivariate data series analysis in both time/space and frequency domains, with focus on mutivariate autoregressive (VAR) models
Synthetic Data Generation by Sequential Monte Carlo (SMC)
Synthetic Data Generation (SDG) by Group Method of Data Handling (GMDH)
Synthetic Data Generation by Markov Chain Monte Carlo (MCMC)
Synthetic Data Generation (SDG) by nonlinear AutoRegressive with eXogenous input (ARX) model
Synthetic Minority Over-sampling Technique (SMOTE) for Synthetic Data Generation (SDG)
Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution
Synthetic Data Generation (SDG) Using Vanilla GAN
Synthetic Data Generation by Kernel Density Estimation (KDE)
Add a description, image, and links to the synthetic-data-generation topic page so that developers can more easily learn about it.
To associate your repository with the synthetic-data-generation topic, visit your repo's landing page and select "manage topics."