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
  ☆109Updated last year
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆70Updated last year
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• IBM / Contrastive-Explanation-Method
  Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…
  ☆54Updated 6 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 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
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated 3 weeks ago
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 9 months ago
• dataiku-research / cardinal
  A practical Active Learning python package with a strong focus on experiments.
  ☆51Updated 2 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
• 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
• XAI-ANITI / ethik
  A toolbox for fair and explainable machine learning
  ☆55Updated last year
• yeounoh / slicefinder
  automatic data slicing
  ☆34Updated 3 years ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆29Updated 6 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated last year
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last year
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆291Updated last year
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated last year
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆73Updated 2 years ago
• AlliedToasters / dfencoder
  ☆131Updated 2 years ago