Name: Maria Patterson
Type: User
Company: White House Presidential Innovation Fellow
Bio: Civic techie, Astro PhD, open science architect, and inclusive AI advocate.
Twitter: OpenSciPinay
Location: Indianapolis, IN
Blog: https://mtpatter.github.io/
Maria Patterson's Projects
Mock alert stream distribution system using Kafka producers and consumers.
astr 698 computational astrophysics class MC projects
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
Library to download, anaylyze, and visualize events in Major League Baseball games
Jupyter notebooks for filtering Kafka data with Spark Streaming.
Carbon-Aware SDK
Census Reporter is a Knight News Challenge-funded project to make it easier for journalists to write stories using information from the U.S. Census bureau.
some scripts for pulling county data from CERES (Clouds and the Earth's Radiant Energy System)
Code to clean data from the human activity recognition using smartphones data set
Data sets and scripts for Coursera Big Data Specialization.
Variant calling from sequence reads using cloud computing
choropleth maps with d3.js
Mock stream producer for time series data using Kafka.
Place to keep Dockerfiles for others' images I would like to freeze on my hub
Various Dockerfiles I use on the desktop and on servers.
Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager
Tutorial on example data analysis for Earth Observing-1 data on the Open Science Data Cloud.
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Code for making the visualizations and audio clips in my search for Hidden Figures STEM video for PepsiCo. https://mtpatter.github.io/pepsi-hidden-figures/
Materials for a 90 minute workshop "Image Analysis in Python".
Bootlier implementation for anomaly detection
Website for my hilarious idea for a book club of one that I quickly dropped out of.
Codes for Matsu Wheel geoserver
scripts for the mebipenny 2015 competition practice
Fully reproducible, Dockerized, step-by-step, tutorial on training and serving a simple sklearn classifier model using mlflow. Detailed blog post published on Towards Data Science.