Simple Implementation of ICA (Imperialistic Competitive Algorithm)
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Updated
Apr 16, 2019 - Python
Simple Implementation of ICA (Imperialistic Competitive Algorithm)
A mirror and a fork of PyChem
The ICA Part of Blind Source Separation Project
Welcome to my repository dedicated to enhancing the clarity and quality of EEG (Electroencephalography) data through innovative noise reduction methodologies. This project lies at the confluence of neuroscience and data science, representing a significant leap in EEG signal processing.
Simulating ADC background calibration algorithms in OpenCL
Discovering Universal Geometry in Embeddings with ICA
Graph coloring by ICA (Imperialist Competitive)
Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training
Web Scraper that goes through an ICA or Coop (Swedish Supermarkets) product's page and gives you the ingredients and whether it's whatever allergen you selected
Just a reusable block of code (de)serializing a matrix and a vector and storing them in a single object
My Original ICA Python app. Mixed sound files or image files with more than 2 files will be separated by this app.
Dataset for training EEG IC classifiers.
This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).
Package for obtaining the referential signal from a set of unipolar iEEG data
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