Federico D'Agostino's repositories
features-app
An explorer for the engineered features extracted from waveforms and ACGs of cerebellar neurons recorded with Neuropixels.
Language:Python000
neuralpredictors
Machine Learning Utils of Sinzlab
MIT000
fededagos
Config files for my GitHub profile.
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sensorium_internal
Code base for the SENSORIUM competition.
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Language:PythonNOASSERTION000
celltypes-classification
Source code for the dissertation "Deep Learning Approaches Towards Semi-Supervised Cell Type Classification in Cerebellar Neuropixels Recordings" submitted as requirement of the MSc in Machine Learning at UCL
UCL
Coursework from the MSc Machine Learning at University College London, 2021/2022.
Language:Jupyter NotebookMIT000
pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
MIT000