Alternatives and similar repositories for DeepHit

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

• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆85Updated 5 years ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆60Updated 2 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆93Updated last year
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆665Updated 5 years ago
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆106Updated 4 years ago
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆220Updated 2 years ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆29Updated 3 weeks 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
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆47Updated last week
• shi-ang / SurvivalAnalysisPapers
  A list of papers/resources in Survival Analysis that I have read or would like to read.
  ☆75Updated 4 months ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆352Updated last year
• arturomoncadatorres / deepsurvk
  Implementation of DeepSurv using Keras
  ☆51Updated 2 years ago
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆21Updated 2 years ago
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆95Updated last year
• havakv / pycox
  Survival analysis with PyTorch
  ☆938Updated last year
• ratschlab / circEWS
  circEWS public code
  ☆74Updated last year
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆167Updated 8 months ago
• czifan / DeepSurv.pytorch
  ☆145Updated last year
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• rk2900 / DRSA
  Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…
  ☆143Updated 4 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆169Updated last week
• ratschlab / HIRID-ICU-Benchmark
  Repository for the HiRID ICU Benchmark (HiB) project
  ☆58Updated 2 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆64Updated last year
• ryancburke / DNN_survival
  Comparing DeepHit and DeepSurv models on the SUPPORT dataset
  ☆19Updated 4 years ago
• luisvalesilva / multisurv
  Multimodal deep learning model for long-term cancer survival prediction
  ☆87Updated 3 years ago
• yandexdataschool / roc_comparison
  The fast version of DeLong's method for computing the covariance of unadjusted AUC.
  ☆161Updated 2 months ago
• carlr67 / deephitplus
  Code for the Paper "Automatic Feature Selection for Survival Analysis with Deep Learning"
  ☆16Updated 5 years ago
• shihux / sa_transformer
  Code for "Transformer-Based Deep Survival Analysis"
  ☆13Updated 3 years ago