Pinned

1. awesome-machine-learning-interpretability

   A curated list of awesome machine learning interpretability resources.

   1.8k 337

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 476 158

3. GWU_data_mining

   Materials for GWU DNSC 6279 and DNSC 6290.

   Jupyter Notebook 209 160

4. secure_ML_ideas

   Practical ideas on securing machine learning models

   TeX 22 4

5. kdd_2019

   Paper and talk from KDD 2019 XAI Workshop

   TeX 16 2

6. GWU_rml

   Jupyter Notebook 10 4