Pinned

1. awesome-machine-learning-interpretability

   A curated list of awesome machine learning interpretability resources.

   2.2k 401

2. 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.

   Jupyter Notebook 562 183

3. GWU_data_mining

   Materials for GWU DNSC 6279 and DNSC 6290.

   Jupyter Notebook 219 165

4. secure_ML_ideas

   Practical ideas on securing machine learning models

   TeX 27 4

5. kdd_2019

   Paper and talk from KDD 2019 XAI Workshop

   TeX 17 3

6. GWU_rml

   Jupyter Notebook 17 11