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A drift-diffusion modeling (DDM) framework for Python
A python implementation of NUTS working in an SMC sampler using bridge-Stan to define and execute models
🎨🎨🎨 Collection of most color palettes in a single R package
Official website for the course NESC 3505 Neural Data Science, at Dalhousie University (Halifax, NS, Canada).
A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
Probabilistic Threshold-Free Cluster Enhancement of Neuroimages
An easy tool to copy/move/symlink files from one directory to the other!
DataLad procedures to set up DataLad datasets
GCC master branch for Darwin with experimental support for Arm64. Currently GCC-15.0.1 [February 2025]
Single-level and multi-level mediation analyses for any kind of data, with bootstrap-based significance testing. Neuroimaging-oriented functions allow for mediation effect parametric mapping (mappi…
Hosting git repositories -- Gitolite allows you to setup git hosting on a central server, with very fine-grained access control and many (many!) more powerful features.
Fork of Gogs (https://github.com/gogs/gogs) "a painless self-hosted Git service" with added features for research data management
🔐 Authentication, Authorization, and Accounting (AAA) App and Plugin for Caddy v2. 💎 Implements Form-Based, Basic, Local, LDAP, OpenID Connect, OAuth 2.0 (Github, Google, Facebook, Okta, etc.), SAM…
GitHub Action for deploying code via rsync over ssh
Pomerium is an identity and context-aware access proxy.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A cookiecutter template for data science projects within His Majesty's Government and wider public sector.
Basic cookiecutter template for R projects
rrtools: Tools for Writing Reproducible Research in R
Use of an R package to facilitate reproducible research
A template for data analysis projects structured as R packages (or not)
An example project to validate a Stan model in a targets pipeline
MATLAB Integration for Jupyter enables you to run MATLAB code in Jupyter Notebooks and other Jupyter environments. You can also open MATLAB in a browser directly from your Jupyter environment to us…
Code for the talk "Approximate Bayesian inference for latent Gaussian models in Stan"