Alternatives and similar repositories for psmpy

Users that are interested in psmpy are comparing it to the libraries listed below

• julianspaeth / random-survival-forest
  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
  ☆65Updated 11 months ago
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆42Updated last year
• pzivich / zEpid
  Epidemiology analysis package
  ☆149Updated 2 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 2 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆62Updated 3 months ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆108Updated last month
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆156Updated last year
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆346Updated last year
• dominance-analysis / dominance-analysis
  This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given datase…
  ☆165Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 10 months ago
• AidanCooper / shap-clustering
  How to use SHAP values for better cluster analysis
  ☆59Updated 3 years ago
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆365Updated last year
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆93Updated last year
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• Yu-Group / iterative-Random-Forest
  Python implementation of iterative-random-forests
  ☆68Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆56Updated 3 years ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆391Updated this week
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆101Updated last year
• erdogant / clusteval
  Clusteval provides methods for unsupervised cluster validation
  ☆64Updated 6 months ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• casper-hansen / Nested-Cross-Validation
  Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…
  ☆64Updated 5 years ago
• konosp / propensity-score-matching
  ☆105Updated 4 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated last week
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• pzivich / Python-for-Epidemiologists
  Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
  ☆174Updated 2 years ago
• Labo-Lacourse / stepmix
  A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysi…
  ☆77Updated 3 months ago