Alternatives and similar repositories for DL4Survival

Users that are interested in DL4Survival are comparing it to the libraries listed below

• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆91Updated last year
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆149Updated 2 weeks ago
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆37Updated 2 weeks ago
• ErikinBC / SurvSet
  ☆58Updated 2 months ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆55Updated last year
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• shi-ang / SurvivalAnalysisPapers
  A list of papers/resources in Survival Analysis that I have read or would like to read.
  ☆62Updated last week
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆208Updated 5 months ago
• deniserava / DeepHazard
  DeepHazard: Neural Network for Time Varying Risks
  ☆15Updated 4 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• ModelOriented / survex
  Explainable Machine Learning in Survival Analysis
  ☆114Updated last year
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆81Updated 4 years ago
• reylined / TransformerJM
  ☆11Updated 3 years ago
• djdanks / DeSurv
  ☆9Updated 3 years ago
• data-modeler / rnn-surv
  Replication of the RNN-SURV architecture
  ☆14Updated 2 years ago
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆27Updated last year
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆103Updated 4 years ago
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆21Updated 2 years ago
• hrossman / pymsm
  ☆52Updated 2 years ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆218Updated last year
• lilizhaoUM / DNNSurv
  ☆19Updated 5 years ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆28Updated 2 months ago
• BavoDC / CalibrationCurves
  R package to assess the calibration performance of prediction models. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Ca…
  ☆24Updated last month
• eth-mds / ricu
  🏥 ICU data with R 🏥
  ☆43Updated 4 months ago
• sachinruk / torchlife
  Survival analysis using Deep Learning.
  ☆15Updated 2 years ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆12Updated 4 years ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆152Updated 4 months ago
• chl8856 / survITE
  SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
  ☆19Updated 3 years ago