cfcooney/sagemaker_sdk_examples

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cfcooney/sagemaker_sdk_examples

cfcooney

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

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

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.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

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