Alternatives and similar repositories for folktexts

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

• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 8 years ago
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆33Updated 3 months ago
• algofairness / fairness-comparison
  Comparing fairness-aware machine learning techniques.
  ☆161Updated 3 years ago
• IBM / inFairness
  PyTorch package to train and audit ML models for Individual Fairness
  ☆66Updated 4 months ago
• felipemaiapolo / prompteval
  Efficient multi-prompt evaluation of LLMs
  ☆28Updated last year
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆69Updated last year
• ayong8 / FairSight
  A visual analytic system for fair data-driven decision making
  ☆26Updated 3 years ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆69Updated last year
• poloclub / FairVis
  FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
  ☆39Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆84Updated 3 years ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆19Updated 2 years ago
• truongkhanhduy95 / Heritage-Health-Prize
  Kaggle Heritage Health Prize Challenge
  ☆19Updated 2 years ago
• KaryFramling / py-ciu
  Explainable Artificial Intelligence through Contextual Importance and Utility
  ☆27Updated 4 months ago
• fat-forensics / fat-forensics
  Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
  ☆77Updated 2 years ago
• iPieter / ethical-adversaries
  ⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".
  ☆11Updated 3 years ago
• jeffhj / LM_PersonalInfoLeak
  The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)
  ☆27Updated 3 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• socialfoundations / error-parity
  Achieve error-rate fairness between societal groups for any score-based classifier.
  ☆19Updated 5 months ago
• PAIR-code / interpretability
  PAIR.withgoogle.com and friend's work on interpretability methods
  ☆220Updated last week
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 5 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆252Updated last year
• veritas-project / phase1
  ☆21Updated 5 years ago
• mlcommons / dataperf
  Data Benchmarking
  ☆23Updated last year
• michael-aloys / awesome-weak-supervision
  ☆40Updated 2 years ago
• dylan-slack / TalkToModel
  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
  ☆126Updated 2 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆71Updated 3 years ago
• SinaMohseni / ML-Interpretability-Evaluation-Benchmark
  This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data
  ☆30Updated 4 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆43Updated 3 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆223Updated last month