BiDAlab / FairCVtest
FairCVtest: Testbed for Fair Automatic Recruitment and Multimodal Bias Analysis
☆18Updated last year
Alternatives and similar repositories for FairCVtest:
Users that are interested in FairCVtest are comparing it to the libraries listed below
- Implementation of Adversarial Debiasing in PyTorch to address Gender Bias☆30Updated 4 years ago
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆18Updated 2 years ago
- Comparing fairness-aware machine learning techniques.☆160Updated 2 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 3 years ago
- Concealed Data Poisoning Attacks on NLP Models☆21Updated last year
- A collection of implementations of fair ML algorithms☆12Updated 7 years ago
- Hands-on tutorial on ML Fairness☆70Updated last year
- python tools to check recourse in linear classification☆75Updated 4 years ago
- Data and code repository of " Multilingual Fairness Evaluation for Hate Speech Detection ". LREC 2020.☆20Updated 2 years ago
- IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".☆16Updated 4 years ago
- ☆20Updated 4 years ago
- Code for paper "Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals"☆17Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Proposal Documents for Fairlearn☆9Updated 4 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆76Updated last year
- Fairness toolkit for pytorch, scikit learn and autogluon☆31Updated 2 months ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆44Updated last year
- Intersectional bias in hate speech and abusive language datasets☆14Updated last year
- Learning Gender-Neutral Word Embeddings☆46Updated 5 years ago
- Code to reproduce data for Bias in Bios☆43Updated last year
- Model Agnostic Counterfactual Explanations☆86Updated 2 years ago
- Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰☆96Updated last year
- [ACL 2020] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation☆27Updated 4 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆66Updated 4 years ago
- Code accompanying the paper "Understanding Bias in Word Embeddings"☆22Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Library and experiments for attacking machine learning in discrete domains☆45Updated 2 years ago
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- A visual analytic system for fair data-driven decision making☆25Updated 2 years ago
- ☆13Updated 4 years ago