stefanoteso / caipi

Related projects ⓘ

Alternatives and complementary repositories for caipi

• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 6 years ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆19Updated 4 years ago
• dtak / rrr
  Code/figures in Right for the Right Reasons
  ☆55Updated 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆75Updated 3 years ago
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆57Updated 3 years ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆51Updated last year
• talwagner / fair_clustering
  ☆20Updated 5 years ago
• uva-fact-ai-course / uva-fact-ai-course
  This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…
  ☆33Updated 2 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆67Updated 3 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆35Updated last year
• OATML / causal-bald
  ☆16Updated 10 months ago
• grazianomita / machine_learning_interpretability_papers
  This is a public collection of papers related to machine learning model interpretability.
  ☆25Updated 2 years ago
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆36Updated 4 years ago
• Hongyuy / sbrl
  repository for R library "sbrlmod"
  ☆25Updated 6 months ago
• sherbold / autorank
  ☆71Updated last month
• 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
  ☆57Updated 5 months ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated 8 months ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 3 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated 3 months ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• SinaMohseni / ML-Interpretability-Evaluation-Benchmark
  This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
  ☆30Updated 3 years ago
• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆16Updated 6 months ago
• interpretml / fastSparse
  ☆21Updated last year
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆50Updated 2 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆28Updated 3 years ago
• wangtongada / BOA
  Bayesian or-of-and
  ☆34Updated 2 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 7 months ago