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1. Lipschitz-Continuous-Autoencoders-in-Application-to-Anomaly-Detection Lipschitz-Continuous-Autoencoders-in-Application-to-Anomaly-Detection Public

   The implementation used for the results in "Lipschitz Continuous Autoencoders in Application to Anomaly Detection" accepted for AISTATS 2020.

   Python 7 1

2. CI-iVAE CI-iVAE Public

   Jupyter Notebook 10 3

3. Conditional-Wasserstein-Generator Conditional-Wasserstein-Generator Public

   Python 3 2

4. Wasserstein-Geodesic-Generator-for-Conditional-Distributions Wasserstein-Geodesic-Generator-for-Conditional-Distributions Public

   Python 3 2

5. Deep-Learning-Based-Representations-of-Resting-State-Functional-Connectivity-Data Deep-Learning-Based-Representations-of-Resting-State-Functional-Connectivity-Data Public

   Jupyter Notebook

6. Optimizing-Contingency-Management-with-Reinforcement-Learning Optimizing-Contingency-Management-with-Reinforcement-Learning Public

   Jupyter Notebook