Austin's Projects
My personal repository
Personal website
A prototype project for automated, physician-like responses to medical questions
Python package for Bayesian Tests / AB Testing
campycamp api
Find campgrounds
Clinical Concept Extraction with Contextual Word Embedding
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Complete computational statistical problems such as Monte Carlo simulation, Guassian Regression, density estimation, etc.
Code for Stanford CS224u
A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
Applying Image Recognition to Enhance Fisheries Management Capabilities
udacity course
streamline app for tensorflow poison oak image classifier
Slides from presentation on productionalizing Hospital NoShow predictions at PyBay2020
A high-level probabilistic programming interface for TensorFlow Probability
Just playing around trying to use R in ML projects
An example of deploying a sklearn model using Flask using a Docker container.
Gathers a corpus of information from web crawlers. Scope is increasing as time goes on.
simple streamlit stock prediction app