Open-source Platform for learning kubernetes and aws eks and preparation for for Certified Kubernetes exams (CKA ,CKS , CKAD, ICA)

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

MNELAB – a GUI for MNE-Python

InkCanvasForClass Community Open Source Project

Automatic labeling of ICA components in Python.

ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

Group ICA/IVA software (MATLAB)

Awesome Kubestronaut. Resources to prepare for CKA, CKAD, CKS, KCNA, KCSA, PCA, ICA, CNPE, CNPA, CGOA, CAPA, KCA, BCA, OTCA, CCA

Automatic EEG IC classification plugin for EEGLAB

VAEs and nonlinear ICA: a unifying framework

Fusion ICA Toolbox (MATLAB)

ICA Lens: compact ICA-based interpretability tools for exploring LLM activations. Code release for the paper.

Process and analyse EEG brain signals using EEGlab

EEGPrep is an automated preprocessing tool for human EEG data built on a benchmarked EEGLAB pipeline

Python implementation of a stabilized ICA algorithm

🍻 A pub quiz web application built using the MERN stack with websockets for near real-time quiz action

Using computational tools to explore the networks underlying cognitive neuroscience

MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

Matrix decomposition algorithms including PCA (principal component analysis) and ICA (independent component analysis)

This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).