Popular GitHub Repositories for Missing Data Imputation

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

implementation of a Deep Kernelized Auto Encoder for learning vectorial representations of mutlivariate time series with missing data.

Code accompanying the notMIWAE paper

An implementation to Convolutional generative adversarial imputation networks for spatio-temporal missing data Nets Paper (Conv-GAIN)

Official implementation of 'Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis' (MaCoDE) with pytorch (AAAI 2025 accepted paper).

Fairness-Machine Learning in the Context of Missing Data Imputation

Adversarial Machine Learning Applied to Missing Data Imputation