Alternatives and similar repositories for pymsm

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

• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆89Updated last year
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆54Updated last year
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆135Updated this week
• tomer1812 / pydts
  ☆23Updated last month
• 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
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆117Updated last year
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆37Updated 10 months ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆343Updated last year
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆35Updated last week
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆81Updated 4 years ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆150Updated 3 months ago
• vanderschaarlab / survivalgan
  SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
  ☆27Updated 2 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆27Updated 2 weeks ago
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆19Updated 3 years ago
• ErikinBC / SurvSet
  ☆57Updated 2 weeks ago
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆80Updated 9 months ago
• imatge-upc / SurvLIMEpy
  Local interpretability for survival models
  ☆24Updated last year
• sachinruk / torchlife
  Survival analysis using Deep Learning.
  ☆15Updated 2 years ago
• shi-ang / SurvivalAnalysisPapers
  A list of papers/resources in Survival Analysis that I have read or would like to read.
  ☆58Updated 2 weeks ago
• deniserava / DeepHazard
  DeepHazard: Neural Network for Time Varying Risks
  ☆15Updated 4 years ago
• ryancburke / DNN_survival
  Comparing DeepHit and DeepSurv models on the SUPPORT dataset
  ☆18Updated 3 years ago
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆205Updated 4 months ago
• spiros / tofu
  Tofu is a Python tool for generating synthetic UK Biobank data.
  ☆60Updated last year
• landiisotta / convae_architecture
  ☆40Updated 3 years ago
• clinicalml / omop-learn
  Python package for machine learning for healthcare using a OMOP common data model
  ☆108Updated 2 years ago
• deepmedicine / Targeted-BEHRT
  Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records
  ☆20Updated 2 years ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆132Updated 2 years ago