Alternatives and similar repositories for solas-ai-disparity

Users that are interested in solas-ai-disparity are comparing it to the libraries listed below

• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆43Updated last year
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆94Updated last year
• ustunb / risk-slim
  simple customizable risk scores in python
  ☆142Updated 2 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆111Updated 2 months ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated last year
• ErikinBC / SurvSet
  ☆59Updated 5 months ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆52Updated 5 months ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆279Updated last week
• hrossman / pymsm
  ☆53Updated 3 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 11 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆156Updated last month
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• chvlyl / Comorbidity_Index
  Python package for comorbidity index calculation
  ☆20Updated 8 years ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆350Updated last year
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆86Updated last year
• adriennekline / psmpy
  propensity score matching in python
  ☆60Updated last week
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆394Updated 3 weeks ago
• KenSciResearch / fairMLHealth
  Healthcare-specific tools for bias analysis
  ☆39Updated 2 years ago
• janezd / baycomp
  ☆74Updated last year
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆38Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated 2 years ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 10 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆797Updated 7 months ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆72Updated 2 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• pzivich / zEpid
  Epidemiology analysis package
  ☆150Updated 2 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 6 months ago