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F1Archive
Python library for extracting, transforming and vizualising historical F1 results data.BiModNeuroCNN
Package for bimodal training of deep neural networks on neurological data. Pypi: https://pypi.org/project/BiModNeuroCNN/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.htmlimagined_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.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.ipynbsagemaker_sdk_examples
Repository of examples for running training and deployment of deep learning models on AWS with Amazon SageMaker SDK.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
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