Alternatives and similar repositories for ContrastiveExplanation

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

• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆110Updated last year
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆105Updated last year
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 6 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 10 months ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• google / TrustScore
  To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…
  ☆176Updated 2 years ago
• grazianomita / machine_learning_interpretability_papers
  This is a public collection of papers related to machine learning model interpretability.
  ☆26Updated 3 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆220Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆96Updated last year
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last month
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 10 months ago
• tiagobotari / melime
  Meaningful Local Explanation for Machine Learning Models
  ☆41Updated 2 years ago
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆117Updated 4 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last year
• cgnorthcutt / hypopt
  ⏸ Parallelized hyper-param optimization with validation set, not crossval
  ☆90Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• EthicalML / explainability-and-bias
  ☆102Updated 2 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago