Course repository for learning R for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems
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Updated
Sep 19, 2024 - Python
Course repository for learning R for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems
Uncertainty Quantification in Julia
Codes for estimates of intensity functions parameters of multivariate counting processes and density estimation for latent variable.
Survival analysis in Python
Python Structural Reliability Analysis
A Python3 library of test functions from the uncertainty quantification community with a common interface for validation and benchmarking purposes.
Statistical reliability library for rust (educational purpose)
L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
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.
Repos for On the Reliability and Explainability of Language Models for Program Generation
Evaluate the ability of system to function without failure
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Weibull series system estimation from data with censored lifetimes and masked component cause of failure.
SERVE your constituents FIRST! Enlist them in the campaign of becoming their own solution, DOGFOODING their own toolset.
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
This Project is a study of the patient’s survival rate due to heart failure condition caused by cardiovascular diseases. Various factors causing the disease were analyzed with the use of reliability analysis and software to model and predict patients’ survival.
Statistical methods and visualizations often used in reliability engineering including the well-known weibull analysis and Monte Carlo simulations
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
Simulation and generation of synthetic reliability-related data.
Framework to perform content-based diversity analysis and reliability analysis
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