Discover cfcooney/64Chan-EEG-Data-prep-and-Classification Open Source

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cfcooney

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Jupyter Notebooks and Python scripts for processing, analysing and classifying EEG data recorded from a 64-channel data acquisition system while subjects performed overt and imagined speech tasks. \n - preprocessing/preprocessing_main.ipynb

medium_posts

Code linked to blog posts on data science and machine learning topics.

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F1Archive

Python library for extracting, transforming and vizualising historical F1 results data.

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BiModNeuroCNN

Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/

Python

Imagined-Speech-EEG-Matlab

Data extraction and processing of EEG trials corresponding to imagined speech. The dataset has been acquired from: http://www.cs.toronto.edu/~complingweb/data/karaOne/karaOne.html

MATLAB

imagined_speech_cnns

Data processing, network architectures, statistics and visualization pertaining to the use of convolutional neural networks for feature extraction and classification of imagined speech EEG recordings.

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sagemaker_sdk_examples

Repository of examples for running training and deployment of deep learning models on AWS with Amazon SageMaker SDK.

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Word-Error-Rate

Python and GoLang implementations of the Levenshtein (edit) distance [1] computation along with word error rate and word accuracy [2]

EEG_data

Python

cfcooney/64Chan-EEG-Data-prep-and-Classification

cfcooney

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