A novel latent variable model that extracts smoothly evolving latent subspaces that are shared between or independent to distinct data modalities for use with modern systems neuroscience experiments
A convolutional neural network architecture that uses the learned representations from an autoencoder for classification
A deep learning model that can perform mathematical factorization without supervision.
A regression analysis on the effects of HDI and GDP per capita on COVID deaths for 151 countries using python.
This is a project for Math for Data Science course at Fordham. In this project, we explored three datasets to investigate the effects of money, sleep and love on relationship length/status. The full code and paper can be found on my Github.
A simple deep NLP model that can summarize a CNN article from that day.