Greg Chase gregwchase

🎯

Focusing

AI Solutions Engineer in pursuit of creating insanely great products.

Achievements

gregwchase /README.md

This my current technology stack, which is what I use in my professional and personal development.

Use Cases	Notes
AWS	Cloud computing services	EC2 S3 ECS
Dask	Distributed computing	Lighter than Spark Follows Pandas API GPU compatible
FastAPI	REST API's	Asynchronous Faster than Flask Easier to test
Poetry	Project package management and publishing	Resolves package dependencies
RAPIDS	GPU data science libraries	cuDF cuML Dask cuDF

eyenet eyenet Public

Identifying diabetic retinopathy using convolutional neural networks

Python 201 81
nih-chest-xray nih-chest-xray Public

Identifying diseases in chest X-rays using convolutional neural networks

Jupyter Notebook 100 56
amazon-mxnet-content-recsys amazon-mxnet-content-recsys Public

Content Based Recommendation System; partnership with Amazon MXNet team.

Jupyter Notebook 3
end-to-end-gpu-computing end-to-end-gpu-computing Public

Notebooks and scripts detailing various GPU computing libraries.

Jupyter Notebook 2 3
linear-regression-lesson linear-regression-lesson Public

A lesson plan for teaching linear regression at DSST schools in Denver, Colorado.

Jupyter Notebook
presentations presentations Public

Collection of presentation slides from speaking engagements.

2 1