Deep Learning

Research in Computer Vision

This is an online summer research program I am running to improve your ability to do research in Deep Learning, with a focus on Computer Vision.

A Primer in Python

This crash course in python for absolute beginners is a great place for you to start your programming journey. This class primarily covers data structures, object-oriented programming, reading and writing to files, and much more!

Bioinformatics for Dummies

If you are new to the world of Bioinformatics, then this protocol should be a pretty comprehensive guide for you to succeed in data mining, figure generation, and comprehensive analysis. Imagine this as almost a “Bioinformatics For Dummies” Book. Hopefully, you’ll gain valuable knowledge that you can take with you into your future experiments and studies!

Intro to Deep Learning

An introductory course for deep learning. Topics range from simple regressions to advanced deep convolutional neural networks. You will also see how classification problems are solved via a variety of deep learning models.

The Development of an Artificial Intelligence Model Based Solely on Computer Tomography Successfully Predicts Which Patients Will Pass Obstructing Ureteral Calculi

RegenX: an NLP recommendation engine for neuroregeneration topics over time

Deep Medicine

by Eric Topol

The influence of age and gender information on the diagnosis of diabetic retinopathy: based on neural networks

The FDA Guidelines for AI in Medical Software

Framing guidelines on Artifical Intelligence based Medical Devices for 21st-century healthcare.

Deep Learning for Compressing Mammograms

Here, I compare how autoencoders and variational autoencoders (VAE)s fare when compared to baseline JPEG compression.