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#

weibull

Here are 52 public repositories matching this topic...

WTTE-RNN a framework for churn and time to event prediction

  • UpdatedAug 7, 2020
  • Python
weibull-knowledge-informed-ml

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

  • UpdatedMar 17, 2023
  • Python

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

  • UpdatedNov 10, 2024
  • Python

An open-source and easy-to-use software for the comprehensive analysis of grain-size distributions

  • UpdatedMar 19, 2025
  • Python

"Pop-in" Analysis From Indentation Tests

  • UpdatedOct 31, 2023
  • MATLAB

Reproduction of the work by Hong, Y., Meeker, W. Q., & McCalley, J. D. (2009). Prediction of remaining life of power transformers based on left truncated and right censored lifetime data. Annals of Applied Statistics, 3(2), 857-879.

  • UpdatedJun 28, 2021
  • R

This project focuces on analysis of survival patients with Aids, with Python library Lifelines

  • UpdatedDec 22, 2022
  • Jupyter Notebook

Create an iterator for generating pseudorandom numbers drawn from a Weibull distribution.

  • UpdatedJan 20, 2025
  • JavaScript

Create a readable stream for generating pseudorandom numbers drawn from a Weibull distribution.

  • UpdatedMar 17, 2025
  • JavaScript

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