BirkhoffG / Explainable-ML-Papers
A list of research papers of explainable machine learning.
☆31Updated 3 years ago
Alternatives and similar repositories for Explainable-ML-Papers:
Users that are interested in Explainable-ML-Papers are comparing it to the libraries listed below
- List of relevant resources for machine learning from explanatory supervision☆155Updated last month
- A curated list of awesome resources for Artificial Intelligence Alignment research☆69Updated last year
- Resources for CS21si (AI for Social Good).☆11Updated 5 years ago
- Schedule and Syllabus for Human-Centered Machine learning.☆184Updated last year
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated last year
- Curated list of resources for various topics, articles, tutorials, etc I've found useful.☆19Updated 2 years ago
- A curated list of awesome Fairness in AI resources☆315Updated last year
- 🧠 Starter templates for doing interpretability research☆67Updated last year
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆146Updated 2 years ago
- This repository contains implementations of algorithms proposed in recent papers from top machine learning conferences on Fairness, Accou…☆33Updated 2 years ago
- Repository for ML in Practice Course at CMU (10-718)☆59Updated last year
- Reading list for Probability and Statistics☆27Updated 2 years ago
- A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podc…☆66Updated this week
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆239Updated 6 months ago
- eXplainable Machine Learning 2022 at MIM UW☆20Updated last year
- Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources☆156Updated 3 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!☆19Updated 2 weeks ago
- ☆53Updated 5 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆63Updated 2 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆89Updated 9 months ago
- Repo for ML for Public Policy Lab course at CMU☆110Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- React + Next.js template for research websites (for PhD students, researchers, etc)☆145Updated last month
- ☆181Updated 2 years ago
- Comprehensive list of machine learning videos☆38Updated 6 years ago
- ☆222Updated 2 years ago
- Project for the financial forecasting challenge from G-Research (https://financialforecasting.gresearch.co.uk/).☆7Updated 6 years ago