SolasAI / solas-ai-disparityLinks
A Python Library of Curated Disparity Testing Metrics for Use in Real-World Settings
☆35Updated 3 months ago
Alternatives and similar repositories for solas-ai-disparity
Users that are interested in solas-ai-disparity are comparing it to the libraries listed below
Sorting:
- Create sparse and accurate risk scoring systems!☆40Updated last year
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆92Updated last year
- Competing Risks and Survival Analysis☆105Updated last month
- simple customizable risk scores in python☆141Updated 2 years ago
- For calculating global feature importance using Shapley values.☆274Updated this week
- ☆58Updated 2 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Updated 11 months ago
- ☆52Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- AutoML for causal inference.☆228Updated 8 months ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆344Updated last year
- Healthcare-specific tools for bias analysis☆39Updated 2 years ago
- Resources for Machine Learning Explainability☆84Updated last year
- Multiple Imputation with LightGBM in Python☆387Updated last year
- Python implementation of iterative-random-forests☆67Updated last year
- Open source package for Survival Analysis modeling☆362Updated last year
- Simulations for predictive model selection in causal inference☆13Updated 7 months ago
- propensity score matching in python☆59Updated 3 weeks ago
- A collection of resources for learning and research.☆97Updated 3 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated last month
- This course is an overview of applied causal inference.☆50Updated 3 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆84Updated last week
- A resource list for causality in statistics, data science and physics☆265Updated last month
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis☆28Updated 2 years ago
- 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
- DoubleML - Double Machine Learning in Python☆643Updated this week