Alternatives and similar repositories for pycox

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

• jaredleekatzman / DeepSurv
  DeepSurv is a deep learning approach to survival analysis.
  ☆675Updated 5 years ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆358Updated last year
• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,263Updated 2 weeks ago
• chl8856 / DeepHit
  DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks
  ☆225Updated 11 months ago
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆368Updated last year
• robi56 / Survival-Analysis-using-Deep-Learning
  This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
  ☆221Updated 2 years ago
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆88Updated 5 years ago
• Novartis / torchsurv
  Deep survival analysis made easy
  ☆177Updated this week
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆30Updated 2 months ago
• MGensheimer / nnet-survival
  Discrete-Time Survival Model for Neural Networks
  ☆93Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• imatge-upc / SurvLIMEpy
  Local interpretability for survival models
  ☆24Updated last year
• RyanWangZf / SurvTRACE
  SurvTRACE: Transformers for Survival Analysis with Competing Events
  ☆64Updated 2 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆95Updated 2 years ago
• liupei101 / TFDeepSurv
  COX Proportional risk model and survival analysis implemented by tensorflow.
  ☆106Updated 4 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
• rk2900 / DRSA
  Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…
  ☆145Updated 5 years ago
• autonlab / DeepSurvivalMachines
  ☆31Updated 4 years ago
• vanderschaarlab / autoprognosis
  A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
  ☆171Updated 10 months ago
• yandexdataschool / roc_comparison
  The fast version of DeLong's method for computing the covariance of unadjusted AUC.
  ☆163Updated 3 months ago
• collinprather / drsa
  An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.
  ☆21Updated 2 years ago
• arturomoncadatorres / deepsurvk
  Implementation of DeepSurv using Keras
  ☆52Updated 2 years ago
• shi-ang / SurvivalAnalysisPapers
  A list of papers/resources in Survival Analysis that I have read or would like to read.
  ☆78Updated 6 months ago
• czifan / DeepSurv.pytorch
  ☆149Updated last year
• shi-ang / SurvivalEVAL
  The most comprehensive Python package for evaluating survival analysis models.
  ☆47Updated last week
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆619Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆402Updated 3 months ago
• MLforHealth / MIMIC_Extract
  MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
  ☆466Updated last year
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆194Updated 2 years ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆45Updated last year