survival-analysis

Survival analysis in Python

Machine Learning in R

Survival analysis built on top of scikit-learn

Survival analysis with PyTorch

Open source package for Survival Analysis modeling

Improving XGBoost survival analysis with embeddings and debiased estimators

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

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

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

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

GPstuff - Gaussian process models for Bayesian analysis

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

Probabilistic Supervised Learning for mlr3

COX Proportional risk model and survival analysis implemented by tensorflow.

Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2019 paper with some other (Python) implemented prediction models.

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.

Survival analysis in Julia

SALMON: Survival Analysis Learning with Multi-Omics Neural Networks

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.