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1. AutoOD_Demo AutoOD_Demo Public

   A self-tuning anomaly detection system to address the challenges of method selection and hyper-parameter tuning without access to a sufficient number of human supplied, ground truth labels.

   SCSS 76 4

2. proj-test proj-test Public

   Forked from DSC-WAV/proj-test

   Test project for the Onboarding workshop

3. CS539_Machine_Learning_Final_Project CS539_Machine_Learning_Final_Project Public

   This is the final project for CS539 Machine learning. Our goal is to develop a method that matches two different images of the same pet. This would be extremely useful in a lost pet situation.

   Jupyter Notebook

4. MQP-AutoOD MQP-AutoOD Public

   Python