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Projects in Awesome Lists tagged with imputation

A curated list of projects in awesome lists tagged with imputation .

https://github.com/WenjieDu/PyPOTS

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

classification clustering data-mining data-science deep-learning forecasting healthcare imputation incomplete industrial interpolation machine-learning missing-values missingness neural-network partially-observed-time-series pytorch science-research time-series time-series-analysis

Last synced: 01 Apr 2025

https://github.com/awslabs/datawig

Imputation of missing values in tables.

imputation missing-value-handling

Last synced: 06 Apr 2025

https://github.com/eltonlaw/impyute

Data imputations library to preprocess datasets with missing data

imputation missing-data python scientific-computing

Last synced: 04 Apr 2025

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/wenjiedu/tsdb

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.

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

Last synced: 17 Mar 2026

https://github.com/david-cortes/isotree

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

anomaly-detection imputation isolation-forest outlier-detection

Last synced: 15 May 2025

https://github.com/dvgodoy/handyspark

HandySpark - bringing pandas-like capabilities to Spark dataframes

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

Last synced: 05 Apr 2025

https://github.com/WenjieDu/TSDB

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.

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

Last synced: 01 Apr 2025

https://github.com/SteffenMoritz/imputeTS

CRAN R Package: Time Series Missing Value Imputation

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

Last synced: 26 Mar 2025

https://github.com/steffenmoritz/imputets

CRAN R Package: Time Series Missing Value Imputation

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

Last synced: 05 Apr 2025

https://github.com/Vivianstats/scImpute

Accurate and robust imputation of scRNA-seq data

imputation r-package single-cell-rna-seq

Last synced: 09 Apr 2025

https://github.com/jisungk/riddle

Race and ethnicity Imputation from Disease history with Deep LEarning

bioinformatics biology computational-biology deep-learning epidemiology imputation machine-learning neural-networks

Last synced: 08 Jul 2025

https://github.com/urbslab/streamline

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

automl-pipeline binary-classification data-science data-visualization feature-selection imputation machine-learning model-application statistical-analysis supervised-learning

Last synced: 12 Jul 2025

https://github.com/genepi/nf-gwas

A nextflow pipeline to perform state-of-the-art genome-wide association studies.

gwas imputation nextflow regenie singularity slurm

Last synced: 02 Feb 2026

https://github.com/mayer79/missranger

Fast multivariate imputation by random forests.

imputation machine-learning missing-values r random-forest rstats

Last synced: 24 Oct 2025

https://github.com/mayer79/missRanger

Fast multivariate imputation by random forests.

imputation machine-learning missing-values r random-forest rstats

Last synced: 26 Apr 2025

https://github.com/randel/MixRF

A random-forest-based approach for imputing clustered incomplete data

gene-expression imputation mixed-models random-forest

Last synced: 26 Apr 2025

https://github.com/iskandr/knnimpute

Python implementations of kNN imputation

imputation machine-learning missing-data statistics

Last synced: 09 Mar 2026

https://github.com/zhengxwen/hibag

R package – HLA Genotype Imputation with Attribute Bagging (development version only)

bioinformatics gpu hla imputation mhc r snp

Last synced: 06 Apr 2025

https://github.com/maize-genetics/phg_v2

Practical Haplotype Graph (PHG) version 2

imputation pangenome pangenome-graph

Last synced: 11 Feb 2026

https://github.com/simongrund1/mitml

Tools for multiple imputation in multilevel modeling

imputation missing-data mixed-effects multilevel-data multilevel-models r r-package

Last synced: 07 May 2025

https://github.com/harry24k/mida-pytorch

PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

autoencoder deep-learning imputation pytorch

Last synced: 10 Apr 2025

https://github.com/clear-nus/NCDSSM

PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".

continuous-time forecasting icml-2023 imputation kalman-filter state-space-model time-series

Last synced: 20 Mar 2025

https://github.com/filippob/introduction_to_gwas

https://filippob.github.io/introduction_to_gwas/

gwas imputation linear-regression pipeline

Last synced: 25 Oct 2025

https://github.com/jishanshaikh4/sti

Resources and code for the Store Transaction Imputation Hackathon by Nielson (India)

imputation store techgig techgig-solutions transaction

Last synced: 25 Apr 2025

https://github.com/andreaskapou/Melissa

Bayesian Clustering and Imputation of Single Cell Methylomes

bayesian-inference clustering imputation methylation variational-inference

Last synced: 09 Apr 2025

https://github.com/tom-metherell/mice.jl

a package for missing data handling via multiple imputation by chained equations in Julia. It is heavily based on the R package {mice} by Stef van Buuren, Karin Groothuis-Oudshoorn and collaborators.

imputation julia mice missing-data multiple-imputation statistics

Last synced: 21 Oct 2025

https://github.com/Oafish1/JAMIE

Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)

autoencoder imputation integration multimodal variational variational-autoencoder

Last synced: 09 May 2026

https://github.com/mwheymans/psfmi

psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets

cox-regression imputation imputed-datasets logistic multiple-imputation pool predictor regression selection spline spline-predictors

Last synced: 22 Oct 2025

https://github.com/macarro/imputena

Python package that allows both automated and customized treatment of missing values in datasets

imputation missing-data python

Last synced: 14 Jan 2026

https://github.com/transbiozi/gimpute

An efficient genetic data imputation pipeline

genotyping gwas haplotypes imputation liftover phasing

Last synced: 03 Apr 2026

https://github.com/mcuntz/hesseflux

hesseflux provides functions used in the processing and post-processing of the Eddy covariance flux data of the ICOS ecosystem site FR-Hes.

eddy-covariance filter gap-filling gpp imputation mad python spikes ustar

Last synced: 27 Jan 2026

https://github.com/boennecd/mdgc

Provides functions to impute missing values using Gaussian copulas for mixed data types.

binary gaussian-copula imputation multinomial-variables ordinal semi-parametric

Last synced: 22 Oct 2025

https://github.com/datapreprocessing/datacleaning

Data Cleaning is a python package for data preprocessing. This cleans the CSV file and returns the cleaned data frame. It does the work of imputation, removing duplicates, replacing special characters, and many more.

data data-cleaning data-cleansing data-preprocessing data-wrangling imputation python threshold

Last synced: 14 Dec 2025

https://github.com/corymccartan/birdie

Bayesian Instrumental Regression for Disparity Estimation

imputation r racial-disparities statistics

Last synced: 17 Jul 2025

https://github.com/ssmiler/idash2019_2

Secure genotype imputation using homomorphic encryption - iDASH 2019 track 2

genome-imputation genomics homomorphic-encryption idash imputation machine-learning

Last synced: 12 Oct 2025

https://github.com/cran-task-views/missingdata

CRAN Task View: Missing Data

cran imputation missing-data r rstats task-views

Last synced: 13 Apr 2025

https://github.com/shangzhi-hong/rfempimp

Multiple Imputation using Chained Random Forests

imputation missing-data random-forest

Last synced: 22 Oct 2025

https://github.com/joshweiner/ml-impute

A package for synthetic data generation for imputation using single and multiple imputation methods.

imputation imputation-methods jax machine-learning multiple-imputation numpy pandas parallelization singular-value-decomposition synthetic-data synthetic-dataset-generation

Last synced: 18 Jul 2025

https://github.com/pavlin-policar/alra

Imputation method for scRNA-seq based on low-rank approximation

batch-effects imputation matrix-completion scrna-seq svd

Last synced: 15 Aug 2025

https://github.com/bdslab-upv/extremiss

Numerical data imputation methods for extremely missing data contexts

classification data-quality imputation imputation-methods machine-learning missing-data missing-data-imputation

Last synced: 01 Feb 2026

https://github.com/sadmansakib93/missing-value-imputaion-knn

Python implementaion of missing value imputation using K-Nearest-Neighbour and Weighted K-Nearest-Neighbour

imputaion-knn imputation impute-algorithm knearest-neighbour knn minmaxscalar missing-values python-implementaion scaling standard-scalar weighted-knn

Last synced: 03 May 2025

https://github.com/fangzhouli/para-impute

Missing value imputation package in Python specialized for High-performance computing.

computer-clus hpc imputation impute missforest missing-data missing-values python random-forest slurm

Last synced: 02 Apr 2026

https://github.com/zhengxwen/hibag.gpu

GPU-based implementation for the HLA genotype imputation method (HIBAG)

gpu hla imputation mhc snp

Last synced: 07 Jul 2025

https://github.com/stonegor/ae-imputer

A python package used for missing data imputation via autoencoders.

data-science deep-learning imputation machine-learning python pytorch

Last synced: 14 Jan 2026

https://github.com/jeffreyevans/yaimpute

Nearest neighbor-based imputation on multivariate data

cran imputation r r-package rstats

Last synced: 15 Mar 2025

https://github.com/mkirchmeyer/adaptation-imputation

Unsupervised domain adaptation with non-stochastic missing data

digital-advertising domain-adaptation imputation missing-data

Last synced: 20 Oct 2025

https://github.com/teebusch/mifa

An R package providing multiple Imputation of covariance matrices in order to perform factor analysis.

factor-analysis imputation rstats

Last synced: 17 Mar 2025

https://github.com/ai-sandbox/aegen

Autoencoders for genomic data compression, classification, imputation, phasing and simulation.

classification compression imputation phasing simulation

Last synced: 16 Jan 2026

https://github.com/tymill/synthpred

A Julia package for synthetic data analysis, advanced imputation (ARIMA, RNN), AutoML, and ensemble modeling.

arima automl ensemble flux imputation julia machine-learning synthetic-data time-series

Last synced: 22 Apr 2025

https://github.com/scarface987/imputetoolkit

🔍 Evaluate and compare imputation methods with consistent metrics using the intuitive S3 interface of the `imputetoolkit` R package.

benchmarking cpp data-quality devtools evaluation-metrics imputation missing-data missing-data-imputation r rcpp roxygen2 testthat usethis

Last synced: 18 May 2026

https://github.com/jonaprieto/imputation

ARSI imputation algorithm for categorical databases

arsi imputation missing-values roustida vtrida

Last synced: 19 Jan 2026

https://github.com/hasnainroopawalla/super-resolution-vehicle-trajectory

A Master Thesis project to increase the temporal resolution of vehicle trajectories using recurrent time series imputation.

deep-learning imputation python time-series trajectory

Last synced: 11 Apr 2025

https://github.com/inbo/multimput

multimput is an R package that assists with analysing dataset with missing values using multiple imputation.

imputation imputation-model package r

Last synced: 04 Mar 2026

https://github.com/viralemergence/trefle

Imputing the mammalian virome with the LF-SVD model

imputation svd verena virology zoonotic-disease

Last synced: 20 Feb 2026

https://github.com/leabrodyheine/ml-kaggle-cirrhosis-data

This project showcases skills in machine learning, data preprocessing, and model evaluation using Python libraries such as scikit-learn, XGBoost, and Optuna. It involves implementing various machine learning models, handling imbalanced data, and employing imputation techniques to enhance model performance for predicting cirrhosis outcomes.

data-analysis data-pre imbalanced-data imputation machine-learning optuna pipeline scikit-learn xgboost

Last synced: 14 May 2026

https://github.com/vaneseltine/impute-gender

This is more like a set of notes than a useful repository

gender gender-from-name gender-prediction imputation sociology

Last synced: 16 Jan 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

https://github.com/ugurcan222/a-different-approach--image-enhancement-with-imputation-and-regression-methods

This experimental work presents a different approach to increase the size and quality of an image by adding a blank pixel around each pixel in an image, enlarging the image, breaking it into parts, and generating these blank pixels by predicting them with models.

ai-image-upscaling computer-vision digital-image-processing gradient-boosting image-analysis image-enhancement image-enlargement image-interpolation image-processing imputation knn machine-learning numpy opencv pixel-prediction python randomforest regression-models super-resolution xgboost

Last synced: 17 Jan 2026

https://github.com/lefteris-souflas/modern-slavery-analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn

Last synced: 09 Apr 2026

https://github.com/tanveer09/imputetoolkit

imputeToolkit is an R package designed to help users apply, compare, and visualise multiple imputation methods. It automates the process of masking known values, applying different imputation strategies, and evaluating their performance with clear metrics and visualisations.

benchmarking cpp data-quality devtools evaluation-metrics imputation missing-data missing-data-imputation r r-package rcpp roxygen2 testthat usethis

Last synced: 19 May 2026

https://github.com/aefdz/localfda

Localization processes for functional data analysis. Software companion for the paper “Localization processes for functional data analysis” by Elías, A., Jiménez, R., and Yukich, J. (2020)

classification functional-data-analysis imputation outliers-detection

Last synced: 22 Oct 2025

https://github.com/kwokhing/wids-datathon-patient-survival

A challenge to create a model that uses data from the first 24 hours of intensive care to predict patient survival

feature-engineering gradient-boosting-machine imputation kaggle lightgbm machine-learning

Last synced: 01 May 2026

https://github.com/sap/knn-sampler

Machine learning imputation method with multiple imputation and uncertainty quantification support based on kNN

imputation machine-learning

Last synced: 15 Sep 2025

https://github.com/dayadau/gdp-defl-2000

Visualise GDP deflator development group by income level in 2000 using RStudio, specifically RMarkDown file.

gdp imputation r

Last synced: 29 Jul 2025

https://github.com/dayadau/gdp_defl_2000

Visualise GDP deflator development group by income level in 2000 using RStudio, specifically RMarkDown file.

gdp imputation r

Last synced: 07 Jul 2025

https://github.com/jeffreysarnoff/imputationalgamest.jl

last observation carry forward

imputation locf missing-data nans

Last synced: 11 Feb 2026

https://github.com/phydev/mice

Multiple imputation with chained equation implemented from scratch. This is a low performance implementation meant for pedagogical purposes only.

data-cleaning data-science imputation mice-algorithm missingness multiple-imputation

Last synced: 15 Mar 2025

https://github.com/abdulrahmanaymann/data-mining

data mining project involving two tasks: a regression problem and a classification problem.

classification data-mining imputation jupyter-notebook knn linear-regression outlier-detection polynomial-regression preprocessing python regression scaling

Last synced: 21 Aug 2025

https://github.com/inbo/drat

A repository with R packages created and maintained by INBO

bookdown drat ggplot2 ggplot2-themes imputation packages r rmarkdown-templates

Last synced: 12 Jun 2026

https://github.com/joshuajose978/data_cleaning_and_imputation

A data science project that evaluates the effectiveness of different imputation techniques using synthetic datasets. The workflow involves generating rule-based synthetic data with missing values, applying three imputation methods (MICE, KNN, and Mean imputation), and comparing their performance through a dashboard visualization.

imputation python

Last synced: 08 Jun 2026

https://github.com/jfeser/imputedb

A database with automatic imputation of missing values.

database imputation

Last synced: 17 May 2026