cfcooney/BiModNeuroCNN

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8
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Language
Python
License
MIT License
Created about 4 years ago
Updated almost 3 years ago

cfcooney/BiModNeuroCNN

cfcooney

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

medium_posts

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

Jupyter Notebook

F1Archive

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

Jupyter Notebook

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

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.

Jupyter Notebook

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

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

Jupyter Notebook

sagemaker_sdk_examples

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

Jupyter Notebook

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