Jared Ostmeyer

Bare bone examples of machine learning in TensorFlow

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Machine Learning on Sequential Data Using a Recurrent Weighted Average

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Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset.

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Dynamic Kernel Matching (DKM) for Classifying Data with Non-conforming Features

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Statistical classifier for immune repertoires

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Neural network trained as a generative model on the MNIST dataset using Persistent Contrastive Divergence.

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Improved statistical classifier for immune repertoires

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Revealing example of self-attention, the building block of transformer AI models

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