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.
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.
Design and techno-economic assessment of marine renewable energy arrays
Framework to perform content-based diversity analysis and reliability analysis
Simulation and generation of synthetic reliability-related data.
Evaluate high school math reasoning in LLMs with baseline and Chain-of-Thought (CoT) prompts. Includes confidence calibration metrics, JSON output parsing, and reliability analysis.
Estimating survival predictions
Factor Analysis for survey data
Energy system simulation framework that optimizes generation portfolios using AI-based genetic algorithms. Models hourly power dispatch, battery management, and source failures over multi-year horizons to evaluate reliability and economic performance of diverse energy mixes.
Reliability models implemented in Python
Add a description, image, and links to the reliability-analysis topic page so that developers can more easily learn about it.
To associate your repository with the reliability-analysis topic, visit your repo's landing page and select "manage topics."
