Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/soda-inria/hazardous
Competing Risks and Survival Analysis
competing-risks data-science gradient-boosting machine-learning survival-analysis
Last synced: 22 Jun 2024
![](https://github.com/soda-inria.png)
https://github.com/ModelOriented/survex
Explainable Machine Learning in Survival Analysis
biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai
Last synced: 22 Jun 2024
![](https://github.com/ModelOriented.png)
https://github.com/einatboro/awesome-survival-analysis
Resources for Survival Analysis
competing-risks cox-regression kaplan-meier-plot proportional-hazards-models survival-analysis time-dependent-covariates time-to-event-prediction
Last synced: 13 Jun 2024
![](https://github.com/einatboro.png)
https://github.com/archd3sai/Customer-Survival-Analysis-and-Churn-Prediction
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.
customer-churn-prediction customer-survival-analysis data-analysis explainable-ai flask-application hazard partial-dependence-plot random-forest shap-values survival-analysis
Last synced: 08 Jun 2024
![](https://github.com/archd3sai.png)
https://github.com/adibender/pammtools
Piece-wise exponential Additive Mixed Modeling tools
additive-models pamm pammtools piece-wise-exponential r rstats survival-analysis
Last synced: 04 Jun 2024
![](https://github.com/adibender.png)
https://github.com/MatthewReid854/reliability
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
data-science maximum-likelihood-estimation modeling python reliability-engineering simulation statistics survival-analysis weibull-analysis
Last synced: 31 May 2024
![](https://github.com/MatthewReid854.png)
https://github.com/vollmersj/SurvivalAnalysis.jl
A survival analysis interface for Julia
julia survival-analysis time-to-event
Last synced: 31 May 2024
![](https://github.com/vollmersj.png)
https://github.com/MoganaD/Machine-Learning-on-Breast-Cancer-Survival-Prediction
We used different machine learning approaches to build models for detecting and visualizing important prognostic indicators of breast cancer survival rate. This repository contains R source codes for 5 steps which are, model evaluation, Random Forest further modelling, variable importance, decision tree and survival analysis. These can be a pipeline for researcher who are interested to conduct studies on survival prediction of any type of cancers using multi model data.
breast-cancer-prediction cancer-data decision-trees machine-learning prediction-model survival-analysis variable-importance
Last synced: 29 May 2024
![](https://github.com/MoganaD.png)
https://github.com/kourgeorge/project-origin
An Artificial Life simulator for Investigating Noogenesis
artificial-general-intelligence artificial-intelligence artificial-life artificial-neural-networks behaviour brain creature deep-neural-networks dqn intelligence machine-learning nature noogenesis reinforcement-learning simulation simulation-modeling simulator survival-analysis system-biology universe
Last synced: 24 May 2024
![](https://github.com/kourgeorge.png)
https://github.com/square/pysurvival
Open source package for Survival Analysis modeling
deep-learning machine-learning numpy python pytorch survival-analysis
Last synced: 21 May 2024
![](https://github.com/square.png)
https://github.com/havakv/pycox
Survival analysis with PyTorch
deep-learning machine-learning neural-networks python pytorch survival-analysis
Last synced: 21 May 2024
![](https://github.com/havakv.png)
https://github.com/mlr-org/mlr
Machine Learning in R
classification clustering cran data-science feature-selection hyperparameters-optimization imbalance-correction learners machine-learning mlr multilabel-classification predictive-modeling r r-package regression stacking statistics survival-analysis tuning tutorial
Last synced: 02 May 2024
![](https://github.com/mlr-org.png)
https://github.com/nicolasfguillaume/Strategic-Business-Analytics-with-R
Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org
dplyr hierarchical-clustering hr predictive-maintenance r scoring strategic-business-analytics survival-analysis
Last synced: 28 Apr 2024
![](https://github.com/nicolasfguillaume.png)
https://github.com/CamDavidsonPilon/lifelines
Survival analysis in Python
cox-regression data-science maximum-likelihood python reliability-analysis statistics survival-analysis
Last synced: 11 Apr 2024
![](https://github.com/CamDavidsonPilon.png)
https://github.com/sebp/scikit-survival
Survival analysis built on top of scikit-learn
machine-learning python scikit-learn survival-analysis
Last synced: 11 Apr 2024
![](https://github.com/sebp.png)
https://github.com/tylermorganwall/skpr
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.
design-of-experiments linear-models linear-regression monte-carlo optimal-designs power r rstats split-plot-designs survival-analysis
Last synced: 31 Mar 2024
![](https://github.com/tylermorganwall.png)
https://github.com/loft-br/xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators
machine-learning survival-analysis
Last synced: 31 Mar 2024
![](https://github.com/loft-br.png)
https://github.com/m-clark/Miscellaneous-R-Code
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**.
additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip
Last synced: 26 Mar 2024
![](https://github.com/m-clark.png)
https://github.com/autonlab/auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
causal-inference counterfactual-inference data-science deep-learning graphical-models machine-learning python regression reliability-analysis survival-analysis time-to-event
Last synced: 21 Mar 2024
![](https://github.com/autonlab.png)
https://github.com/thbuerg/NeuralCVD
🫀 Code for "Neural network-based integration of polygenic and clinical information: Development and validation of a prediction model for 10 year risk of major adverse cardiac events in the UK Biobank cohort" 🫀
cardiovascular-disease pytorch pytorch-lightning risk-modeling survival-analysis time-to-event ukbiobank
Last synced: 17 Mar 2024
![](https://github.com/thbuerg.png)