#Survival-analysis
Showing 17 of 17 repositories tagged #survival-analysis, ranked by stars
Survival analysis in Python
Machine Learning in R
Survival analysis built on top of scikit-learn
Survival analysis with PyTorch
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
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
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.
Datasets for Predictive Maintenance
Probabilistic Learning for mlr3
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.
Solid Tumor Associative Modeling in Pathology
Competing Risks and Survival Analysis
Decoding biological age from face photographs using deep learning.
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
Implementation of DeepSurv using Keras
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.