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adventr

adventr: tutorials in R for An Adventure in Statistics (Field, 2016)

analyzing_neural_time_series

python implementations of Analyzing Neural Time Series Textbook

awesome-colab-notebooks

Collection of google colaboratory notebooks for fast and easy experiments

bambi

BAyesian Model-Building Interface (BAMBI) in Python.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayespy

Bayesian Python: Bayesian inference tools for Python

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

bmc

Notes on Scientific Computing for Biomechanics and Motor Control

bold5000_autoencoder

autoencoder trained on BOLD5000 dataset

brain-plots

Quickly and easily create 2d and 3d plots of fMRI data (using MATLAB).

cbig

computational-neuroscience

Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.

coursera-computational-neuroscience

Coursera Computational-NeuroScience course of the University of Washington

cv

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

dcm2niix

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

dimred

python, scala, and pyspark code for few dimensional reduction algorithms

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

emoji_trends

How emojis are used on Twitter 😎

fccognestic2023

Materials for the "Functional connectivity" workshop at the Cognitive Neuroscience Skills Training In Cambridge (COGNESTIC-2023).

ffmpeg-normalize

Audio Normalization for Python/ffmpeg

frontiers2013

Paper for special issue "Python in Neurosciences II"

glmm-in-python

Generalized linear mixed-effect model in Python

gradient_analysis

hackathon2019

Website and projects for the OHBM Hackathon in Rome 2019

heudiconv

A flexible DICOM converter for organizing brain imaging data into structured directory layouts

highdimensional-decision-boundary-plot

Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

intro-comp-neuro

Codes to accompany the book An Introductory Course in Computational Neuroscience