peterewills Goto Github PK
Name: Peter Wills
Type: User
Bio: Ph.D. in Applied Math, now building production ML systems. Lover of python, scala, and emacs.
Location: Ithaca, NY
Blog: http://www.pwills.com
Name: Peter Wills
Type: User
Bio: Ph.D. in Applied Math, now building production ML systems. Lover of python, scala, and emacs.
Location: Ithaca, NY
Blog: http://www.pwills.com
Partial implementation of a binary search tree in Scala
A web scraper to build .csv file of names in a D2L dropbox
Emacs Python Development Environment
Jupyter notebook client in Emacs
A Gibbs sampler for Exponential Random Graph Models
Machine learning genre classification of musical tracks
Code for "Metrics for Graph Comparison: a Practitioner's Guide"
ipinyou data
A IPython Notebook stylesheet based on zenburn
Inverse transform sampling in Python
GNU Emacs / N Λ N O - Emacs made simple
Comparative metrics for dynamic networks in Python
Org export engine for Jekyll on Markdown
Source for pwills.com
Analysis of primary school social contact data for pwills.com
see README.md
Demo Notebooks for AWS SageMaker
Data grabber for senate voting records
Generate Sphinx friendly docstrings for Python functions in Emacs
Powerful new number types and numeric abstractions for Scala.
Adds Presto support to Emacs's SQLi mode.
TensorFlow implementation of an arbitrary order Factorization Machine
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.