Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

Datasets for Predictive Maintenance

Explainable Machine Learning in Survival Analysis

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Survival analysis in Julia

SurvTRACE: Transformers for Survival Analysis with Competing Events

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

Tutorial on survival analysis using TensorFlow.

ICML 2018: "Adversarial Time-to-Event Modeling"

ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

A survival analysis interface for Julia

A probabilistic model to cluster survival data in a variational deep clustering setting

Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python

R package for fitting joint models to time-to-event and longitudinal data

ACM CHIL 2020: "Survival Cluster Analysis"

Prepare electronic medical record data from the UK Biobank for time-to-event analyses

Analysis of Multivariate Event Times https://kkholst.github.io/mets/