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PyPOTS

WenjieDu / PyPOTS

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Star 1.3k

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 neural-network clustering interpolation pytorch healthcare forecasting classification incomplete imputation industrial missingness time-series-analysis science-research missing-values partially-observed-time-series
  • Updated Mar 27, 2025
  • Python

gempy-project / gempy

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Star 1.1k

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.

python interpolation modeling geoscience torch bayesian monte-carlo-simulation implicit uq geology uncertainties uncertainty-analysis complex-geological-models geological
  • Updated Mar 26, 2025
  • Python
SAITS

WenjieDu / SAITS

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Star 388

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
  • Updated Mar 17, 2025
  • Python

WenjieDu / Awesome_Imputation

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Star 275

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper 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
  • Updated Mar 21, 2025
  • Python

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