Survival analysis in Python
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Python Structural Reliability Analysis
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.
Uncertainty Quantification in Julia
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
Statistical methods and visualizations often used in reliability engineering including the well-known weibull analysis and Monte Carlo simulations
A toolbox for the calibration and evaluation of simulation models.
A Python3 library of test functions from the uncertainty quantification community with a common interface for validation and benchmarking purposes.
PARANSYS (Python pArametric Reliability Analysis on ANSYS) is a module that can connect the ANSYS software to Python scripts using APDL scripts. It has one connection class and two other classes for reliability analysis, using explicit or implicit limit states.
Course repository for learning R for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems
Design and techno-economic assessment of marine renewable energy arrays
Internet reliability check - CLI tool
Framework to perform content-based diversity analysis and reliability analysis
Simulation and generation of synthetic reliability-related data.
Программа для анализа надежности электронных средств.
L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Weibull series system estimation from data with censored lifetimes and masked component cause of failure.
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