Pinned Repositories
data-neuroscience
A syllabus for data-driven education in neuroscience
Neural-Net-Demo
A Python 3.5.0 version of some toy neural netowrk models by Andrew Trask
ytwrk
YT metadata exporter
GrantRVD's Repositories
GrantRVD/data-neuroscience
A syllabus for data-driven education in neuroscience
GrantRVD/Neural-Net-Demo
A Python 3.5.0 version of some toy neural netowrk models by Andrew Trask
GrantRVD/ytwrk
YT metadata exporter
GrantRVD/backend
The code that runs the Open Access Button website, which is where the API sits
GrantRVD/CV
GrantRVD/ENDURE2022
Materials for the 2022 ENDURE Python for Neuroscientist Workshop
GrantRVD/ENDURE2023
Code for the three-day ENDURE Python workshop (2023)
GrantRVD/express-app-with-sequelize
Just a practice project for me to get better with JS and postgresql.
GrantRVD/fakespikes
Model spiking as a statistical process, in Python.
GrantRVD/fooof
Parameterizing neural power spectra
GrantRVD/gender-bias
Reading for gender bias
GrantRVD/github-actions-continuous-delivery
GrantRVD/github-actions-for-ci
GrantRVD/GrantRVD.github.io
My personal website
GrantRVD/hello-github-actions
GrantRVD/mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
GrantRVD/neurodsp
Tools for the Voytek Lab and friends to analyze neural time series
GrantRVD/neurofinder
Benchmarking platform and competition for source extraction from imaging data
GrantRVD/nwb-api
GrantRVD/oab_static
Static content of OAButton site
GrantRVD/Overscripted-Data-Analysis-Challenge
Repository for the Mozilla Overscripted Data Mining Challenge
GrantRVD/pacpy
Calculate phase-amplitude coupling in Python (and Matlab and R).
GrantRVD/pairwise_distance
GrantRVD/pynwb
GrantRVD/ReliefF
Implementations of the Relief family of feature selection algorithms.
GrantRVD/spykes
Tools for spike data analysis and visualization
GrantRVD/SWC-D3-Lessons
Dry run of the early version of Software Carpentry's D3 Data Visualization lessons
GrantRVD/telegram
Pushshift Telegram Ingest
GrantRVD/tpot
A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
GrantRVD/twitter-geo-trends