Alternatives and similar repositories for DRSA:

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

• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆214Updated last year
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆103Updated 3 years ago
• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆58Updated 3 months ago
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆22Updated last year
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆192Updated this week
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆92Updated last year
• MLSurvival / MTLSA
  A Multi-Task Learning Formulation for Survival Analysis
  ☆19Updated 8 years ago
• autonlab / DeepSurvivalMachines
  ☆28Updated 3 years ago
• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆604Updated 4 years ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 4 years ago
• mp2893 / retain
  RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism
  ☆213Updated 7 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 7 years ago
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 6 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆87Updated last year
• 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
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆67Updated 4 years ago
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆119Updated 2 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• mp2893 / mime
  MiME Repository
  ☆105Updated 5 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆107Updated 10 months ago
• kwaiDA / KwaiSurvival
  ☆68Updated 3 years ago
• grobgl / rnnsm
  ☆18Updated 7 years ago
• USC-Melady / Benchmarking_DL_MIMICIII
  ☆127Updated 4 months ago
• Optum / retain-keras
  Reimplementation of RETAIN Recurrent Neural Network in Keras
  ☆83Updated last year
• shi-ang / SurvivalAnalysisPapers
  A list of papers/resources in Survival Analysis that I have read or would like to read.
  ☆49Updated 3 months ago
• BorgwardtLab / mgp-tcn
  Sepsis Prediction on MIMIC
  ☆69Updated 3 years ago
• sschrod / BITES
  BITES: Balanced Individual Treatment Effect for Survival data
  ☆18Updated last year
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆22Updated 10 months ago
• lilizhaoUM / DNNSurv
  ☆18Updated 4 years ago
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆27Updated 11 months ago