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Projects in Awesome Lists tagged with incomplete-data

A curated list of projects in awesome lists tagged with incomplete-data .

https://github.com/WenjieDu/SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

attention attention-mechanism deep-learning imputation imputation-model impute incomplete-data incomplete-time-series interpolation irregular-sampling machine-learning missing-values partially-observed partially-observed-data partially-observed-time-series pytorch self-attention time-series time-series-imputation transformer

Last synced: 01 Apr 2025

https://github.com/armour/k-skyband-query-in-postgresql

📊 K-SkyBand Query in PostgreSQL

database incomplete-data k-skyband postgresql

Last synced: 06 Jul 2025

https://github.com/vsimkus/vae-conditional-sampling

[TMLR] Research code for the paper "Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling".

conditional-sampling data-science importance-sampling incomplete-data mcmc missing-data vae

Last synced: 30 Oct 2025

https://github.com/vsimkus/variational-gibbs-inference

[JMLR] Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".

data-science flow gibbs-sampling incomplete-data machine-learning missing-data statistical-model vae variational-inference

Last synced: 13 Mar 2025

https://github.com/armour/incomplete-data-query-in-postgresql

This repo is used to implement different kinds of incomplete data queries in postgresql

database incomplete-data postgresql

Last synced: 02 May 2026

https://github.com/ameli/restoreio

Restore Incomplete Oceanographic Dataset

hfradar incomplete-data netcdf4 oceanography

Last synced: 26 May 2026

https://github.com/luckyos-code/user-driven-privacy

Data preparation methods for supporting machine learning on anonymized tabular data with generalized and missing values.

anonymized-data data-preparation imputation incomplete-data machine-learning privacy tabular-data

Last synced: 31 May 2026