Alternatives and similar repositories for py-ciu

Users that are interested in py-ciu are comparing it to the libraries listed below

• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆291Updated last year
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• socialfoundations / folktexts
  Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
  ☆24Updated 4 months ago
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆83Updated 2 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆59Updated last year
• 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
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆58Updated 4 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆220Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 2 years ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated 2 months ago
• ThalesGroup / shapkit
  Interpret machine learning predictions using agnostic local feature importance based on Shapley Values.
  ☆20Updated 3 weeks ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 11 months ago
• dandls / moc
  Multi-Objective Counterfactuals
  ☆42Updated 3 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago
• decile-team / spear
  SPEAR: Programmatically label and build training data quickly.
  ☆108Updated last year
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆230Updated last week
• ayong8 / FairSight
  A visual analytic system for fair data-driven decision making
  ☆25Updated 2 years ago
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 5 years ago
• VIDA-NYU / openclean
  openclean - Data Cleaning and data profiling library for Python
  ☆80Updated 3 years ago
• michael-aloys / awesome-weak-supervision
  ☆40Updated 2 years ago
• ERijck / FuzzyTM
  Fuzzy Topic Models
  ☆27Updated last year
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆30Updated 3 years ago
• yeounoh / slicefinder
  automatic data slicing
  ☆34Updated 3 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 6 years ago