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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. 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

  5. handwriting-cnn handwriting-cnn Public

    My final year undergraduate project - experimenting with the use of CNNs and auxiliary algorithms for offline handwriting recognition.

    Java

  6. munchausen-rl munchausen-rl Public

    Reimplementing and discussing/understanding Munchausen RL in a notebook.

    Jupyter Notebook