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Survival analysis in Python
Created
2013-08-28
2,300 commits to master branch, last one 2 days ago
Fast Best-Subset Selection Library
r
python
scikit-learn
cox-regression
machine-learning
feature-selection
linear-regression
multitask-learning
ordinal-regression
poisson-regression
logistic-regression
polynomial-algorithm
best-subset-selection
high-dimensional-data
classification-algorithm
sure-independence-screening
principal-component-analysis
robust-principal-component-analysis
sparse-principal-component-analysis
Created
2020-12-20
2,747 commits to master branch, last one about a month ago
COX Proportional risk model and survival analysis implemented by tensorflow.
This repository has been archived
(exclude archived)
Created
2018-11-01
49 commits to master branch, last one 3 years ago
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 13 days ago
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Created
2022-08-03
92 commits to main branch, last one 5 months ago
Survival analysis in Julia
Created
2017-04-04
97 commits to main branch, last one 21 days ago
Resources for Survival Analysis
Created
2024-01-08
19 commits to main branch, last one 24 days ago