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gempy-project / gempy

Sponsor
Star 939

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 Jun 27, 2024
  • Python
PyPOTS

WenjieDu / PyPOTS

Sponsor
Star 840

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 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 Jul 4, 2024
  • Python
SAITS

WenjieDu / SAITS

Sponsor
Star 292

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 Jun 27, 2024
  • Python

WenjieDu / Awesome_Imputation

Sponsor
Star 130

Awesome Deep Learning for Time-Series Imputation, including a must-read 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 Jun 22, 2024
  • Python

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