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Andrew Doyle's Projects

alphacsc icon alphacsc

Convolution dictionary learning for time-series

boutiques icon boutiques

JSON schema and tools for boutiques application descriptors.

brainsprite.js icon brainsprite.js

Brainsprite.js turns a stack of brain slices into a 3D interactive viewer

catsndogs icon catsndogs

Very simple Bag of Words naives Bayes classifier on the Cats and Dogs dataset

cbrain icon cbrain

CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.

colorednoise icon colorednoise

Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

crn2017-teammtl icon crn2017-teammtl

Slides and misc info for the Montreal team at the CRN Coding Spring 2017 at Stanford

deep-bids icon deep-bids

Repository that adds functions to extend Keras to work with BIDS datasets

deep-mri-qc icon deep-mri-qc

This project is trained on private MRI data, where scans are marked QC_PASS or QC_FAIL. Several architectures of neural networks are explored to make automatic predictions for new images.

deep-neurons icon deep-neurons

Deep Learning for automatic segmentation and classification of individual neurons in high-resolution histological scans.

deep-pac icon deep-pac

Team NeuroMTL's code for the PhotonAI 2018 challenge

fooof icon fooof

Parameterizing neural power spectra - fitting oscillatory peaks and 1/f background.

growr icon growr

Medical growth tracking app

introml icon introml

Landing page for scikit learn and nilearn tutorials, originally curated for MAIN 2018 conference

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

missinglink icon missinglink

This is a submission to the Defi Velo Montreal, a biking hackathon. Our submission won the Data Visualization challenge.

nibabel icon nibabel

Python package to access a cacophony of neuro-imaging file formats

npa icon npa

:zap: Neural Power Amplifier

pybids icon pybids

Python package to access BIDS datasets

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