xai topic
Remembering-for-the-Right-Reasons
Official Implementation of Remembering for the Right Reasons (ICLR 2021)
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
diabetes_use_case
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
CADE
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
RISE
Detect model's attention
alibi
Algorithms for explaining machine learning models
DALEX
moDel Agnostic Language for Exploration and eXplanation