sebp / scikit-survivalLinks
Survival analysis built on top of scikit-learn
☆1,215Updated this week
Alternatives and similar repositories for scikit-survival
Users that are interested in scikit-survival are comparing it to the libraries listed below
Sorting:
- Open source package for Survival Analysis modeling☆360Updated last year
- Survival analysis in Python☆2,476Updated 9 months ago
- Survival analysis with PyTorch☆920Updated 10 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Updated 9 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,580Updated 11 months ago
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆344Updated last year
- [HELP REQUESTED] Generalized Additive Models in Python☆910Updated last week
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 4 months ago
- ML-Ensemble – high performance ensemble learning☆857Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆418Updated 2 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆625Updated last year
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,275Updated last year
- Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA☆1,379Updated last month
- ☆290Updated 2 years ago
- python partial dependence plot toolbox☆860Updated 10 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆643Updated 6 months ago
- Multiple Imputation with LightGBM in Python☆384Updated last year
- DeepSurv is a deep learning approach to survival analysis.☆641Updated 4 years ago
- Extra blocks for scikit-learn pipelines.☆1,350Updated last month
- machine learning with logical rules in Python☆643Updated last year
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆602Updated 8 months ago
- A Python package for modular causal inference analysis and model evaluations☆780Updated 3 months ago
- ☆759Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,485Updated last month
- Python implementation of the rulefit algorithm☆424Updated last year
- Multiple Pairwise Comparisons (Post Hoc) Tests in Python☆370Updated 3 months ago
- A Python library for dynamic classifier and ensemble selection☆490Updated last year
- Causal Inference in Python☆571Updated last month
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆485Updated last month
- A set of data tools in Python☆504Updated 6 months ago