interpretable-ml topic
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.
interpret
Fit interpretable models. Explain blackbox machine learning.
gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
awesome-interpretable-machine-learning
mli-resources
H2O.ai Machine Learning Interpretability Resources
pyss3
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
captum
Model interpretability and understanding for PyTorch