Simulating ADC background calibration algorithms in OpenCL
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.
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings (Published in EMNLP 2024 Findings)
Simple Implementation of ICA (Imperialistic Competitive Algorithm)
Script that applies data-analysis-methods for dimension reduction and developes classification models
Automated EEG artifact rejection and preprocessing with interactive visualization in Streamlit.
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.
A Python project using Independent Component Analysis (ICA) to separate mixed audio signals and classify the separated sources. Includes signal processing, feature extraction, and classification techniques.
The ICA Part of Blind Source Separation Project
PVM（Phantom Vector Mapping）はテキストデータをベクトル化（embedding）した上で、安定して解釈しやすいクラスタを得るための二段階クラスタリング手法。embedding→PCA→ICA①→クラスタリング①→ セントロイドICA②→クラスタリング②の流れ。
Discovering Universal Geometry in Embeddings with ICA (Published in EMNLP 2023)
Automated ICA artifact classification and removal for EEG data using OpenAI Vision API. Generates component visualizations, classifies artifacts, and produces cleaned datasets with detailed reports.
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
Document Scanning Command Line for Windows, macOS and Linux via TWAIN, WIA, ICA and SANE
A mirror and a fork of PyChem
Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training
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