Alternatives and similar repositories for AIF360:

Users that are interested in AIF360 are comparing it to the libraries listed below

• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,679Updated 2 months ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆715Updated last month
• fairlearn / fairlearn
  A Python package to assess and improve fairness of machine learning models.
  ☆2,053Updated last week
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,162Updated 3 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆801Updated 2 years ago
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆946Updated 7 months ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,398Updated 5 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,488Updated 3 weeks ago
• jphall663 / awesome-machine-learning-interpretability
  A curated list of awesome responsible machine learning resources.
  ☆3,767Updated last week
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,465Updated last week
• wangyongjie-ntu / Awesome-explainable-AI
  A collection of research materials on explainable AI/ML
  ☆1,486Updated last month
• tensorflow / fairness-indicators
  Tensorflow's Fairness Evaluation and Visualization Toolkit
  ☆349Updated 3 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,444Updated last month
• google / ml-fairness-gym
  ☆314Updated 2 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆676Updated 10 months ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆827Updated 2 years ago
• lopusz / awesome-interpretable-machine-learning
  ☆913Updated 2 years ago
• EthicalML / awesome-artificial-intelligence-regulation
  This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…
  ☆1,317Updated 3 months ago
• interpretml / interpret-community
  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…
  ☆428Updated 2 months ago
• explainX / explainx
  Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…
  ☆431Updated 8 months ago
• datamllab / awesome-fairness-in-ai
  A curated list of awesome Fairness in AI resources
  ☆319Updated last year
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆124Updated 4 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆488Updated 4 years ago
• carla-recourse / CARLA
  CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
  ☆288Updated last year
• modAL-python / modAL
  A modular active learning framework for Python
  ☆2,278Updated last year
• adebayoj / fairml
  ☆364Updated 3 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,769Updated this week
• tensorflow / model-card-toolkit
  A toolkit that streamlines and automates the generation of model cards
  ☆432Updated last year
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago