explainable-ai topic
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms...
xplique
👋 Xplique is a Neural Networks Explainability Toolbox
modelStudio
📍 Interactive Studio for Explanatory Model Analysis
awesome-graph-explainability-papers
Papers about explainability of GNNs
adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
serilog-sinks-mssqlserver
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
Automated-Fact-Checking-Resources
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
interpretability-by-parts
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
hierarchical-dnn-interpretations
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)