This is your work, valued

Winnipeg

Trevor Bekolay

Elite
@tbekolay

Senior scientist at @abr, maintainer of @nengo, starter of too many side projects

scipy2013-workflow. An efficient workflow for reproducible science (talk at SciPy 2013)

13

pytest-cram. Run cram tests with pytest

11

quantities-comparison. Comparisons of Python packages for representing physical quantities.

10

preact-mdl-example. TypeScript

8

cogsci2013. Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks

7

csv_output. An extension for Inkscape useful for extracting plottable data from SVG scatterplots.

7

drupal-to-markdown. A Python script that takes a Drupal database and converts it to Markdown files.

5

neurotools. A fork of the NeuroTools project.

5

phd. Work related to my PhD

4

jnumeric. NumPy-like syntax for Jython

3

coursera-dsp. Work related to the Digital Signal Processing course (dsp-005) on Coursera

3

scipy2013-quantities. A comprehensive look at representing physical quantities in Python (talk at SciPy 2013)

3

Tumblr-Dashboard-Feed. Python script that generates an Atom feed with your Tumblr dashboard items.

3

bandit-task. Bandit task for Nengo 1.4

2

wedding. Material developed for Trevor & Emily's wedding

2

auditory_nerve. A model of the auditory periphery by Zilany, Bruce, Carney and others

2

jneurosci2013-bts. Behind the scenes of tbekolay/jneurosci2013

2

pyconca2012. Files related to my talk at Pycon Canada 2012

2

schoolwork. All of the assignments, essays, et cetera that I could find from my days in school

2

2014-10-10-seminar. Building a Simple Articulatory Synthesizer

1

refs. A set of Python scripts for managing bibliographic references (in BibTeX)

1

tbekolay.github.io. Trevor's website

1

google-scripts. Backup of Google scripts

1

pycon2015. Smarty

1

nengo_java_gui. Graphical Interface for Nengo, based on Piccolo2D.java.

1

cogsci2013-pres. Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks (talk at CogSci2013)

1