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Name: Gregory Janesch
Type: User
Name: Gregory Janesch
Type: User
A project that looks at Wikipedia's entries on the 50 U.S. states (both the states themselves and related topics).
A test to see how news articles can be clustered.
A project intended to scrape Pokemon trading card data from the website Serebii.net, and perform analyses on it.
A convolutional neural network that takes sector ETF historical returns and makes predictions about market direction.
Project for the Practical Machine Learning course in the Coursera/Johns Hopkins Data Science Specialization
Code to collect and store information from dareebee.com.
Blog content.
Webscraping of preprints on depression and analyzing them.
Code for comparing a few different methods in Hangman.
A sequence of solutions developed for Kaggle's Home Credit Default Risk competition.
A basic LaTeX .sty file, creating a few shorthands for typing up recipes cleanly (albeit plainly).
Solutions, good or bad, for LeetCode problems.
A short piece of bash/osascript used to color mp3 files by bitrate.
Code for the two problems for the NeuroFlow take-home project.
Repository for Open Meeting Toolkit files to be transferred to Sunshine Request
Educational materials to replicate openmeetingspolicy.com in any North Carolina community
Readme-only directory that acts as a list for my main (data) work of interest.
A place to make your very first open source contribution (or your 1,000th - everyone is welcome)
Basic code for making random forest predictions in C.
A Python package with bindings to the "Virtual Instrument Software Architecture" VISA library, in order to control measurement devices and test equipment via GPIB, RS232, or USB.
Make song recommendations from a Spotify playlist based on the contents of another.
R Shiny app for final project in Summer 2019 session of ST558 (Data Science for Statisticians) at NC State.
Trying to see how R's hclust function groups return data for stocks.
Determining whether an LSTM trained on one stock can generalize to other stocks, depending on correlation.
Test.
A collection of code for reading and analyzing a dump of the English Wikipedia.
Code for creating a word prediction app, located at https://gjanesch.shinyapps.io/WordPredictionApp
Workbench and example xblocks
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.