Alternatives and similar repositories for inFairness

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

• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆153Updated 3 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆68Updated last year
• dylan-slack / TalkToModel
  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
  ☆125Updated 2 years ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆79Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• benedekrozemberczki / shapley
  The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
  ☆221Updated 2 years ago
• IBM / UQ360
  Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…
  ☆267Updated 2 months ago
• microsoft / Litmus
  AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems
  ☆48Updated 3 years ago
• iarai / science4cast
  Details for the Science4Cast competition
  ☆63Updated 3 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…
  ☆107Updated last year
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆36Updated 10 months ago
• summerscope / mapping-fair-ml
  😇A curated list of links and resources for Fair ML and Data Ethics
  ☆18Updated 3 years ago
• google-research / agent-based-epidemic-sim
  ☆58Updated 3 weeks ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• easeml / datascope
  Measuring data importance over ML pipelines using the Shapley value.
  ☆43Updated 3 months ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated last month
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• fastforwardlabs / concept-drift
  This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift
  ☆30Updated 4 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆42Updated 3 years ago
• stanford-crfm / EUAIActJune15
  Stanford CRFM's initiative to assess potential compliance with the draft EU AI Act
  ☆93Updated 2 years ago
• stanford-futuredata / omg
  ☆22Updated 2 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 5 years ago
• abacusai / xai-bench
  XAI-Bench is a library for benchmarking feature attribution explainability techniques
  ☆70Updated 2 years ago
• mmalekzadeh / privacy-preserving-bandits
  Privacy-Preserving Bandits (MLSys'20)
  ☆22Updated 3 years ago
• YilunZhou / ExSum
  Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"
  ☆64Updated 3 years ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 3 years ago
• socialfoundations / folktexts
  Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!
  ☆26Updated this week
• jcperdomo / performative-prediction
  ☆32Updated 3 years ago