Alternatives and similar repositories for SurvLIMEpy

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

• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆95Updated last year
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆352Updated last year
• paidamoyo / survival_cluster_analysis
  ACM CHIL 2020: "Survival Cluster Analysis"
  ☆16Updated 4 years ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆60Updated 2 years ago
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆85Updated 5 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆21Updated 2 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 3 years ago
• hrossman / pymsm
  ☆53Updated 3 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆169Updated last week
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆218Updated 10 months ago
• havakv / pycox
  Survival analysis with PyTorch
  ☆938Updated last year
• vanderschaarlab / survivalgan
  SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
  ☆28Updated 2 years ago
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆367Updated last year
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆12Updated 4 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• sachinruk / torchlife
  Survival analysis using Deep Learning.
  ☆15Updated 2 years ago
• deniserava / DeepHazard
  DeepHazard: Neural Network for Time Varying Risks
  ☆15Updated 4 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆44Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆400Updated last month
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆29Updated 3 weeks ago
• ErikinBC / SurvSet
  ☆59Updated 6 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆47Updated last week
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆170Updated last year
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆20Updated 4 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆282Updated 2 years ago
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆665Updated 5 years ago