NeurDS Lab

AllenSDK

Workflow for retrieving spatial gene-expression data from the Allen Institute's Mouse Brain Atlas

DL-intro-2022

Materials for IMPRS summer school workshop on Deep Learning

fMRI_analysis_tools

Comparing existing (frequentist) fMRI analysis packages to the new BayesianDLMfMRI package for R.

intro_dgm

"Deep Generative Modeling": Introductory Examples

NESC_3505_textbook

MPI CBS fork of Textbook for NESC 3505, Neural Data Science, at Dalhousie University

neural-data-science-lab.github.io

Lab page of NeurDS Group

neurds-bib

shared bibtex library for writing

NN-for-Spatial-and-Conceptual-Navigation2

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Treasure-Gene-expression-regions

Learning gene expression regions in mouse brains.

zennit-crp

An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization

.github

BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

data-science-clinic

Directionality-Analysis-MicroscopicMyelinData

Generating_topology

Generating topology datasets

nca

A reproduction of growing neural cellular automata using PyTorch.

NESS

deep learning-based neuron segmentation

nighres

Processing tools for high-resolution neuroimaging

reinforcement_learning

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

tabular-methods

Tabular methods for reinforcement learning