Alternatives and similar repositories for themis-ml:

Users that are interested in themis-ml are comparing it to the libraries listed below

• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆159Updated 2 years ago
• adebayoj / fairml
  ☆364Updated 3 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 4 years ago
• dssg / aequitas
  Bias Auditing & Fair ML Toolkit
  ☆713Updated 2 weeks ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆75Updated 4 years 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
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆171Updated last year
• columbia / fairtest
  ☆58Updated 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
• google / ml-fairness-gym
  ☆314Updated 2 years ago
• algofairness / BlackBoxAuditing
  Research code for auditing and exploring black box machine-learning models.
  ☆132Updated last year
• andreysharapov / xaience
  All about explainable AI, algorithmic fairness and more
  ☆107Updated last year
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆71Updated last year
• mbilalzafar / fair-classification
  Python code for training fair logistic regression classifiers.
  ☆189Updated 3 years ago
• ayong8 / FairSight
  A visual analytic system for fair data-driven decision making
  ☆25Updated 2 years ago
• DataResponsibly / DataSynthesizer
  ☆265Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆488Updated 4 years ago
• microsoft / BackwardCompatibilityML
  Project for open sourcing research efforts on Backward Compatibility in Machine Learning
  ☆73Updated last year
• megantosh / fairness_measures_code
  ☆38Updated last year
• MarcelRobeer / ContrastiveExplanation
  Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
  ☆45Updated 2 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆799Updated 2 years ago
• tensorflow / fairness-indicators
  Tensorflow's Fairness Evaluation and Visualization Toolkit
  ☆349Updated 2 months ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated last year
• thampiman / interpretability
  Interpretability Techniques to Build Robust AI Applications
  ☆39Updated 5 years ago
• tensorflow / model-card-toolkit
  A toolkit that streamlines and automates the generation of model cards
  ☆431Updated last year
• ivylee / model-cards-and-datasheets
  A collection of machine learning model cards and datasheets.
  ☆75Updated 9 months 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…
  ☆104Updated last year
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆165Updated 2 months ago
• EthicalML / explainability-and-bias
  ☆102Updated last year