ClearExplanationsAI / CLEARLinks
Counterfactual Local Explanations of AI systems
☆28Updated 4 years ago
Alternatives and similar repositories for CLEAR
Users that are interested in CLEAR are comparing it to the libraries listed below
Sorting:
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- python tools to check recourse in linear classification☆78Updated 4 years ago
- Neuro-Symbolic AI Toolkit☆100Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark☆224Updated last year
- A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in …☆426Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆69Updated 2 years ago
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆124Updated 2 years ago
- LOcal Rule-based Exlanations☆51Updated last year
- Responsible AI knowledge base☆105Updated 2 years ago
- A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantee…☆51Updated 5 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆51Updated 2 years ago
- Code for the paper "Rule induction for global explanation of trained models"☆21Updated last year
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆265Updated 3 months ago
- Library for Semi-Automated Data Science☆343Updated 3 months ago
- Jenga is an experimentation library that allows data science practititioners and researchers to study the effect of common data corruptio…☆41Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- A curated list of awesome Fairness in AI resources☆327Updated last year
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated 11 months ago
- BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.☆32Updated last year
- PyTorch package to train and audit ML models for Individual Fairness☆66Updated 3 months ago
- Deep Learning and Logical Reasoning from Data and Knowledge☆312Updated 9 months ago
- Fairness toolkit for pytorch, scikit learn and autogluon☆32Updated 8 months ago
- A curated list of programmatic weak supervision papers and resources☆190Updated 2 years ago
- ☆52Updated 4 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago