S-Driscoll

Steve Driscoll's repositories

Code for performing various projection pursuit routines

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Sparse projection pursuit

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Generating multivariate noise

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Code for performing the different types of maximum liklihood principal component analysis

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Rountine for performing augmented projection pursuit analysis

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Implementing Siamese networks with a contrastive loss for similarity learning

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Hidden Markov Model (HMM) for Sequential Recognition in MATLAB.

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Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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Automatic extraction of relevant features from time series:

Language:Jupyter NotebookMIT000