Name: Alex Heaton
Type: User
Company: Microsoft
Bio: These are mostly projects I did as part of the Masters of Information and Data Science program at UC Berkeley.
Location: Seattle
I work full-time as a product analyst at Microsoft and studied data science at UC Berkeley. As a side-project, I mantain a Python package called PyLabel to help manage computer vision datasets. Check it out at https://github.com/pylabel-project/pylabel/.
I try to help people with object detection questions on Stack Overflow and build up my reputation:
abtesting
AB Testing Experiment in R to Optimize Conversion of Paid Search Keywords
alexheat
bigquery
Sample queries and visualizations using Google BigQuery in a Python notebook.
character-recognition
Digit classification using K nearest neighbors and naive bayes models.
cleansingdata
Final assignment for Coursera Data Cleansing Class
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
datasharing
The Leek group guide to data sharing
exdata_plotting1
Plotting Assignment 1 for Exploratory Data Analysis
groundtruth-object-detection
how-to-read-avro-files
Files and code to accompany a Medium article I wrote on helping data analysts use Avro files.
icevision
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
jupyterlab_apod
lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
machine-learning
Final assigment for Coursera machine learning course in R.
programmingassignment2
Repository for Programming Assignment 2 for R Programming on Coursera
pylabel
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
python-doppler-env
Automatically inject Doppler secrets as environment variables for use during local development
repdata_peerassessment1
Peer Assessment 1 for Reproducible Research
searchexplorer
Web App built in R and Shiny to explore search keyword data.
searchwords
Analysis of search keywords costs andclicks in R.
spacy-aspect-extraction
Using the spaCy NLP library for aspect extraction from user generated online reviews.
spark-data-pipeline
An end-to-end data pipeline using Kafka, Spark, Presto and other services running in Docker containers.
stormdata
Analysis of weather data with charts made in ggplot and a map (choropleth). Published as knitr document.
vigilant-space-spoon
w251-hints
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
