alexandrainst / responsible-aiLinks
Responsible AI knowledge base
☆108Updated 2 years ago
Alternatives and similar repositories for responsible-ai
Users that are interested in responsible-ai are comparing it to the libraries listed below
Sorting:
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆119Updated last year
- TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!☆126Updated 2 years ago
- A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity mode…☆102Updated 2 weeks ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- A Natural Language Interface to Explainable Boosting Machines☆69Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆44Updated last month
- PyTorch package to train and audit ML models for Individual Fairness☆66Updated 3 months ago
- ☆213Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆76Updated 3 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated last year
- Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖☆344Updated 2 years ago
- Explainable AI with Python, published by Packt☆165Updated 2 weeks ago
- ☆40Updated 2 years ago
- This is an open-source tool to assess and improve the trustworthiness of AI systems.☆98Updated 3 weeks ago
- ☆51Updated 2 years ago
- ☆51Updated 4 years ago
- Introduction to Data-Centric AI, MIT IAP 2024 🤖☆104Updated 6 months ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- A curated list of awesome Fairness in AI resources☆329Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 2 weeks ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆64Updated 3 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆93Updated 3 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆222Updated 2 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆171Updated 3 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆443Updated last year
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆75Updated 3 years ago