Alternatives and similar repositories for survshap:

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

• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆48Updated last year
• imatge-upc / SurvLIMEpy
  Local interpretability for survival models
  ☆25Updated 8 months ago
• ModelOriented / survex
  Explainable Machine Learning in Survival Analysis
  ☆107Updated 8 months ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆102Updated last week
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆30Updated 2 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆125Updated 2 months ago
• hrossman / pymsm
  ☆44Updated 2 years ago
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆67Updated 4 years ago
• survival-org / DL4Survival
  Repository for the overview paper "Deep Learning for Survival Analysis: A Survey"
  ☆24Updated 3 months ago
• tomer1812 / pydts
  ☆23Updated 4 months ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆58Updated 3 months ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆332Updated 10 months ago
• ErikinBC / SurvSet
  ☆54Updated 2 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆175Updated last year
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆34Updated 3 months ago
• vanderschaarlab / survivalgan
  SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
  ☆27Updated last year
• vanderschaarlab / temporai
  TemporAI: ML-centric Toolkit for Medical Time Series
  ☆107Updated last year
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 4 years ago
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆19Updated 3 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆35Updated 6 months ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆193Updated last week
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆27Updated 11 months ago
• vanderschaarlab / clairvoyance
  Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
  ☆125Updated 2 years ago
• ryancburke / DNN_survival
  Comparing DeepHit and DeepSurv models on the SUPPORT dataset
  ☆16Updated 3 years ago
• paidamoyo / survival_cluster_analysis
  ACM CHIL 2020: "Survival Cluster Analysis"
  ☆17Updated 4 years ago
• landiisotta / convae_architecture
  ☆38Updated 3 years ago