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Aaron Berk's Projects

2016-fall icon 2016-fall

Machine Learning in Python with scikit-learn

2017-winter icon 2017-winter

UBC Scientific Software Seminar: Neural Networks and Deep Learning in Python

bathym-evolve icon bathym-evolve

A Matlab library dependent on LStoolbox of Ian Mitchell at UBC. Built to use level set methods to evolve NOAA bathymetry data according to the radius of curvature of the data.

besovtnv icon besovtnv

A GUI for computing hierarchical decompositions over (Besov(1,1,1), L^2), in the flavour of Tadmor-Nezzar-Vese (2004)

blackboxauditing icon blackboxauditing

Research code for auditing and exploring black box machine-learning models.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gan-sandbox icon gan-sandbox

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

graphsgmtn icon graphsgmtn

testing and expanding the algorithms introduced by Bertozzi and her myriad coauthors

hiddenlayer icon hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

ignite icon ignite

High-level library to help with training neural networks in PyTorch

kmeans icon kmeans

A python implementation of k-means clustering using numpy and pandas

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