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Hendrik J. Weideman's Projects

adversarial-autoencoder icon adversarial-autoencoder

A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.

convnet-for-geometric-matching icon convnet-for-geometric-matching

A Lasagne and Theano implementation of the paper "Convolutional neural network architecture for geometric matching" by Ignacio Rocco, Relja Arandjelović, and Josef Sivic

daug icon daug

An incredibly simple, work-in-progress, library for data augmentation.

fader-networks icon fader-networks

A PyTorch implementation of Fader Networks: Manipulating Images by Sliding Attributes by Lample et al.

i3 icon i3

Configuration files for my i3 window manager setup.

ndsb icon ndsb

Kaggle National Data Science Bowl

netharn icon netharn

Parameterized fit and prediction harnesses for pytorch

nolearn icon nolearn

scikit-learn compatible wrappers for neural net libraries, and other utilities.

plankton-species icon plankton-species

A small work-in-progress project aimed at helping some ecologist colleagues assign species labels to a collection of plankton images.

pyastar2d icon pyastar2d

A very simple A* implementation in C++ callable from Python for pathfinding on a two-dimensional grid.

pygist icon pygist

Image classifier using Lear's GIST implementation

sciluigi icon sciluigi

A light-weight wrapper library around Spotify's Luigi workflow system to make writing scientific workflows more fluent, flexible and modular

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