Alternatives and similar repositories for SurvSet

Users that are interested in SurvSet are comparing it to the libraries listed below

• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆89Updated last year
• ModelOriented / survex
  Explainable Machine Learning in Survival Analysis
  ☆113Updated last year
• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 4 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• survival-org / DL4Survival
  Repository for the overview paper "Deep Learning for Survival Analysis: A Survey"
  ☆25Updated 4 months ago
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆50Updated 2 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆141Updated 2 weeks ago
• haiderstats / ISDEvaluation
  Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
  ☆22Updated 3 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆69Updated last month
• anthonydevaux / DynForest
  Random forest with multivariate longitudinal predictors
  ☆17Updated last month
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆38Updated 11 months ago
• cwolock / survML
  Tools for Flexible Survival Analysis Using Machine Learning
  ☆18Updated 2 weeks ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆12Updated 4 years ago
• drizopoulos / JMbayes2
  Extended Joint Models for Longitudinal and Survival Data
  ☆90Updated this week
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆38Updated last month
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆19Updated 3 years ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆162Updated last week
• kogalur / randomForestSRC
  DOCUMENTATION:
  ☆128Updated last month
• IyarLin / survXgboost
  A small wrapper package that enables full survival curve estimation using xgboost
  ☆19Updated last year
• RaphaelS1 / survivalmodels
  Implementations of survival models in R
  ☆58Updated last year
• jenfb / bkmr
  Bayesian kernel machine regression
  ☆59Updated 8 months ago
• eth-mds / ricu
  🏥 ICU data with R 🏥
  ☆43Updated 3 months ago
• ramhiser / datamicroarray
  A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
  ☆106Updated 9 years ago
• OmriTreidel / cmprsk
  Regression modeling of sub-distribution functions in competing risks
  ☆14Updated last year
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆62Updated last week
• djdanks / DeSurv
  ☆9Updated 3 years ago
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 7 years ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆88Updated 11 months ago
• drizopoulos / JM
  Joint Models for Longitudinal & Survival Data under Maximum Likelihood
  ☆37Updated last year