Alternatives and similar repositories for Dynamic-DeepHit

Users that are interested in Dynamic-DeepHit are comparing it to the libraries listed below

• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆205Updated 4 months ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆27Updated 2 weeks ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆54Updated last year
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆89Updated last year
• arturomoncadatorres / deepsurvk
  Implementation of DeepSurv using Keras
  ☆52Updated last year
• reylined / TransformerJM
  ☆11Updated 3 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
• lilizhaoUM / DNNSurv
  ☆19Updated 5 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆135Updated this week
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• ryancburke / DNN_survival
  Comparing DeepHit and DeepSurv models on the SUPPORT dataset
  ☆18Updated 3 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• data-modeler / rnn-surv
  Replication of the RNN-SURV architecture
  ☆14Updated 2 years ago
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆103Updated 4 years ago
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆35Updated last week
• paidamoyo / survival_cluster_analysis
  ACM CHIL 2020: "Survival Cluster Analysis"
  ☆16Updated 4 years 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
• imatge-upc / SurvLIMEpy
  Local interpretability for survival models
  ☆24Updated last year
• luisvalesilva / multisurv
  Multimodal deep learning model for long-term cancer survival prediction
  ☆81Updated 3 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• czifan / DeepSurv.pytorch
  ☆141Updated 11 months ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆21Updated 2 years ago
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆28Updated last year
• ratschlab / HIRID-ICU-Benchmark
  Repository for the HiRID ICU Benchmark (HiB) project
  ☆57Updated last year
• suinleelab / IMPACT
  This repository provides the dataset and code of Interpretable machine learning prediction of all-cause mortality.
  ☆23Updated 2 years ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆150Updated 3 months ago
• deniserava / DeepHazard
  DeepHazard: Neural Network for Time Varying Risks
  ☆15Updated 4 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆60Updated 7 months ago