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industrial

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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

  • Updated Mar 28, 2025
  • Python

ISAF aims to be a framework that provides the necessary tools for the correct security audit of industrial environments. This repo is a mirror of https://gitlab.com/d0ubl3g/industrial-security-auditing-framework.

  • Updated Nov 13, 2023
  • Python

This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies. A digital thread offers an integrated approach to combine disparate data sources across enterprise systems, increasing traceability, accessibility, collaboration.

  • Updated Nov 27, 2024
  • Python

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