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1. localvsglobaluncertainty localvsglobaluncertainty Public

   Empirical analysis of recent stochastic gradient methods for approximate inference in Bayesian deep learning, including SWA-Gaussian, MultiSWAG, and deep ensembles. See report_localglobal.pdf.

   Python 2

2. shoe-recommendation-engine shoe-recommendation-engine Public

   Building an e-commerce shoe recommender and exploring the associated feature space, and experimenting with generative models to create new designs.

   Jupyter Notebook 1 2

3. nlp-mafiascum nlp-mafiascum Public

   We used deep learning techniques to improve upon a non-deep baseline for distinguishing between liars versus truth-tellers in online games of Mafia. See report_mafiascum.pdf.

   Jupyter Notebook 1

4. munchausen-rl munchausen-rl Public

   Reimplementing and discussing/understanding Munchausen RL in a notebook.

   Jupyter Notebook

5. country-fertilitity-rate-regression country-fertilitity-rate-regression Public

   Forked from Erika-Russi/mod_2_project

   Building regression models for fertility rates in 90+ countries, and analysing results for statistically significant indicators.

   Jupyter Notebook

6. corsair-mmo corsair-mmo Public

   JavaScript