cox-model
Simulate survival data with a known truth: twelve models spanning proportional hazards, accelerated failure time, competing risks, cure fractions, recurrent events and multi-state processes. Docs: https://diogoribeiro7.github.io/genSurvPy/
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Survival models for insurance — cure models, CLV, lapse tables, MLflow wrapper
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
