interpretml / fastSparse
☆22Updated last year
Alternatives and similar repositories for fastSparse:
Users that are interested in fastSparse are comparing it to the libraries listed below
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 9 months ago
- Create sparse and accurate risk scoring systems!☆36Updated 7 months ago
- ☆11Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆65Updated 8 months ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- Generalized Optimal Sparse Decision Trees☆54Updated last week
- python tools to check recourse in linear classification☆75Updated 4 years ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- Statistical inference for fairness auditing☆13Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆70Updated last year
- Public home of pycorels, the python binding to CORELS☆77Updated 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 4 years ago
- ☆54Updated 3 years ago
- Bayesian or-of-and☆34Updated 3 years ago
- A benchmark for distribution shift in tabular data☆50Updated 9 months ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated last year
- repository for R library "sbrlmod"☆25Updated 10 months ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆16Updated 10 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Tensorflow 2 implementation of Causal-BERT☆70Updated last year
- Trees FAst RashoMon Sets☆38Updated 2 months ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 6 months ago
- Generalized Optimal Sparse Decision Trees☆62Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 3 months ago