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WenjieDu /PyPOTS

Sponsor

Star1.9k

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

data-science machine-learning data-mining deep-learning time-series clustering pytorch neural-networks forecasting classification imputation data-analysis generation anomaly-detection missing-values

UpdatedOct 16, 2025
Python

moment-timeseries-foundation-model /moment

Star642

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

time-series transformers forecasting classification imputation anomaly-detection time-series-classification time-series-forecasting time-series-anomaly-detection large-language-models foundational-models

UpdatedMay 19, 2025
TypeScript

mims-harvard /UniTS

Star575

A unified multi-task time series model.

time-series eeg ecg forecasting classification imputation multi-task zero-shot anomaly-detection few-shot unified-model prompt-tuning foundation-models

UpdatedSep 26, 2024
Python

awslabs /datawig

Star491

Imputation of missing values in tables.

imputation missing-value-handling

UpdatedJun 17, 2024
JavaScript

amices /mice

Star490

Multivariate Imputation by Chained Equations

imputation missing-data mice fcs multivariate-data chained-equations multiple-imputation missing-values

UpdatedSep 29, 2025
R

WenjieDu /SAITS

Sponsor

Star470

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

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

UpdatedOct 1, 2025
Python

WenjieDu /Awesome_Imputation

Sponsor

Star374

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data

benchmark machine-learning data-mining deep-learning time-series neural-network interpolation survey imputation missing-data missingness nan missing-values probablistic irregular-time-series time-series-imputation incomplete-time-series

UpdatedSep 8, 2025
Python

eltonlaw /impyute

Star360

Data imputations library to preprocess datasets with missing data

python scientific-computing imputation missing-data

UpdatedNov 6, 2021
Python

david-cortes /isotree

Star221

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

imputation outlier-detection anomaly-detection isolation-forest

UpdatedJun 10, 2025
C++

WenjieDu /TSDB

Sponsor

Star218

a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.

machine-learning data-mining database deep-learning time-series forecasting classification imputation time-series-database time-series-analysis partially-observed-time-series time-series-datasets

UpdatedOct 23, 2025
Python

dvgodoy /handyspark

Star196

HandySpark - bringing pandas-like capabilities to Spark dataframes

visualization python spark exploratory-data-analysis pandas pyspark imputation outlier-detection

UpdatedMay 19, 2019
Jupyter Notebook

vanderschaarlab /hyperimpute

Star195

A framework for prototyping and benchmarking imputation methods

python data-science machine-learning scikit-learn imputation machine-learning-prerequisites imputation-algorithm preprocessing-data

UpdatedApr 4, 2023
Python

JoniColeman /gwas_scripts

Star193

Codebook from my GWAS cookbook

quality-control gwas imputation

UpdatedMay 26, 2022
R

SteffenMoritz /imputeTS

Star170

CRAN R Package: Time Series Missing Value Imputation

cran time-series data-visualization imputation missing-data imputation-algorithm imputets

UpdatedAug 24, 2025
R

Graph-Machine-Learning-Group /grin

Star170

Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

machine-learning imputation graph-machine-learning spatiotemporal-data-analysis multivariate-timeseries-analysis

UpdatedJun 22, 2022
Python

rezakj /iCellR

Star124

iCellR is an interactive R package designed to facilitate the analysis and visualization of high-throughput single-cell sequencing data. It supports a variety of single-cell technologies, including scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq, and Spatial Transcriptomics (ST).