Alternatives and similar repositories for survival-cnn-estimator:

Users that are interested in survival-cnn-estimator are comparing it to the libraries listed below

• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• autonlab / DeepSurvivalMachines
  ☆29Updated 3 years ago
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆102Updated 4 years ago
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆50Updated last year
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆34Updated last month
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 6 years ago
• deniserava / DeepHazard
  DeepHazard: Neural Network for Time Varying Risks
  ☆15Updated 4 years ago
• liupei101 / Tutorial-Machine-Learning-Based-Survival-Analysis
  This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosti…
  ☆31Updated 6 years ago
• georgehc / dksa
  Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
  ☆13Updated 3 years ago
• alistairewj / reproducibility-mimic
  Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database
  ☆38Updated 7 years ago
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆119Updated 2 years ago
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆21Updated 2 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• landiisotta / convae_architecture
  ☆40Updated 3 years ago
• ryancburke / DNN_survival
  Comparing DeepHit and DeepSurv models on the SUPPORT dataset
  ☆17Updated 3 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆59Updated 5 months ago
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆199Updated 2 months ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆85Updated last year
• carlr67 / deephitplus
  Code for the Paper "Automatic Feature Selection for Survival Analysis with Deep Learning"
  ☆16Updated 4 years ago
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆27Updated last year
• DataX-JieHao / Cox-PASNet
  Pathway-based sparse deep neural network for survival analysis
  ☆38Updated last year
• paidamoyo / survival_cluster_analysis
  ACM CHIL 2020: "Survival Cluster Analysis"
  ☆16Updated 4 years ago
• jacobdeasy / flexible-ehr
  Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
  ☆19Updated 4 years ago
• mexchy1000 / DeepSurv_Keras
  DeepSurv code for keras
  ☆23Updated 8 years ago
• rk2900 / DRSA
  Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…
  ☆141Updated 4 years ago
• haiderstats / ISDEvaluation
  Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
  ☆22Updated 3 years ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆26Updated last year
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆215Updated last year