IBM / inFairness
PyTorch package to train and audit ML models for Individual Fairness
☆63Updated last year
Related projects ⓘ
Alternatives and complementary repositories for inFairness
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆57Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆52Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆60Updated 4 months ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated last year
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆45Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 6 months ago
- The Recognizing, Exploring, and Articulating Limitations in Machine Learning research tool (REAL ML) is a set of guided activities to hel…☆51Updated 2 years ago
- ☆22Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆120Updated 2 years ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆18Updated this week
- ☆27Updated 2 years ago
- Extending Conformal Prediction to LLMs☆57Updated 4 months ago
- Testing Language Models for Memorization of Tabular Datasets.☆27Updated 2 weeks ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆34Updated last year
- Achieve error-rate fairness between societal groups for any score-based classifier.☆16Updated 6 months ago
- ☆16Updated 3 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆59Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆58Updated 3 years ago
- FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.☆11Updated last year
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆41Updated 10 months ago
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- python tools to check recourse in linear classification☆74Updated 3 years ago
- PAIR.withgoogle.com and friend's work on interpretability methods☆148Updated last week
- Details for the Science4Cast competition☆62Updated 2 years ago
- ☆59Updated 2 years ago
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆75Updated 5 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- ☆18Updated last year
- Experimental library integrating LLM capabilities to support causal analyses☆81Updated last month
- Minimal, standalone library for solving GLMs in PyTorch☆24Updated 2 years ago