5 results found Sort:

ModelOriented
survex ModelOriented
10
104
gpl-3.0
7
Explainable Machine Learning in Survival Analysis
r xai shap cox-model r-package brier-scores biostatistics censored-data time-to-event cox-regression explainable-ai explainable-ml interpretable-ml machine-learning survival-analysis variable-importance explanatory-model-analysis explainable-machine-learning interpretable-machine-learning probabilistic-machine-learning
Created 2022-08-31
480 commits to main branch, last one 6 months ago
runopti
stg runopti
24
103
mit
5
Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
cox-model regression classification neural-networks feature-selection
Created 2020-07-10
41 commits to master branch, last one 2 years ago
liupei101
TFDeepSurv liupei101
27
102
mit
3
COX Proportional risk model and survival analysis implemented by tensorflow.
cox-model tensorflow deeplearning cox-regression survival-analysis
This repository has been archived (exclude archived)
Created 2018-11-01
49 commits to master branch, last one 3 years ago
MI2DataLab
survshap MI2DataLab
15
82
mit
6
SurvSHAP(t): Time-dependent explanations of machine learning survival models
cph xai shap model machine censored learning survival cox-model explainable brier-scores biostatistics interpretable time-to-event cox-regression explainable-ai machinelearning survival-analysis variable-importance probabilistic-machine-learning
Created 2022-08-03
92 commits to main branch, last one 11 months ago
m-clark
models-by-example m-clark
17
67
unknown
3
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
pca rkhs lasso splines bayesian cox-model algorithms mixed-models zero-inflated neural-network gradient-descent machine-learning ridge-regression linear-regression gaussian-processes logistic-regression penalized-regression hamiltonian-monte-carlo expectation-maximization maximum-likelihood-estimation
Created 2020-11-01
95 commits to main branch, last one 3 years ago