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Val's repositories

Neural Networks with MC Dropout code based on the Code by Yarin Gal in his "DropoutUncertaintyExps" repo. Updated net.py and added an example.

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A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)

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Simplified DPLL implementation

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Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

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One-click deployment for jupyter on heroku

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Jupyter Notebook packaged for Heroku and updated to work in 2017

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Reference deployment of JupyterHub with docker

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Code samples used on cloud.google.com

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Library and tools for extracting metadata from PDFs

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