dbvis-ukon / explainerLinks
The official repository containing the source code to the explAIner publication.
β30Updated last year
Alternatives and similar repositories for explainer
Users that are interested in explainer are comparing it to the libraries listed below
Sorting:
- TalkToModel gives anyone with the powers of XAI through natural language conversations π¬!β124Updated 2 years ago
- Course for Interpreting ML Modelsβ52Updated 2 years ago
- Responsible AI knowledge baseβ107Updated 2 years ago
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcβ¦β85Updated this week
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.β117Updated last year
- Explainable Artificial Intelligence through Contextual Importance and Utilityβ28Updated last week
- A Natural Language Interface to Explainable Boosting Machinesβ68Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensicsβ77Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)β84Updated 2 years ago
- Streamline scikit-learn model comparison.β143Updated 2 years ago
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept driftβ30Updated 4 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).β220Updated 2 years ago
- All about explainable AI, algorithmic fairness and moreβ110Updated 2 years ago
- PyTorch package to train and audit ML models for Individual Fairnessβ66Updated 3 weeks ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanationsβ248Updated last year
- A Python package for unwrapping ReLU DNNsβ70Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniquesβ70Updated 2 years ago
- A collection of implementations of fair ML algorithmsβ12Updated 7 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.β92Updated 3 years ago
- Reads arXiv papers using Text-to-Speechβ62Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119β¦β107Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applicationsβ102Updated 2 years ago
- Introduction to Data-Centric AI, MIT IAP 2024 π€β103Updated 3 months ago
- Interpret text data using LLMs (scikit-learn compatible).β170Updated 2 weeks ago
- β33Updated last year
- Practical ideas on securing machine learning modelsβ36Updated 4 years ago
- RAI is a python library that is written to help AI developers in various aspects of responsible AI development.β58Updated last year
- Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by usingβ¦β49Updated 3 years ago
- A collection of machine learning model cards and datasheets.β80Updated last week
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithmsβ295Updated 2 years ago