lennybronner Goto Github PK
Name: Leonard Bronner
Type: User
Company: The Washington Post
Bio: data science lead, election insights at The Washington Post
Twitter: lennybronner
Location: NYC
Name: Leonard Bronner
Type: User
Company: The Washington Post
Bio: data science lead, election insights at The Washington Post
Twitter: lennybronner
Location: NYC
The 118th congress rural-urban classification by district
CS224D final project. A neural network to compare two documents.
turn fec files into json
Topic Modelling for Humans
The General Game Playing Base Package
Prediction code for the 2016 Iowa Caucus
A shell script to set up a macOS laptop into an awesome development machine.
:exclamation: This is a read-only mirror of the CRAN R package repository. MGLM — Multivariate Response Generalized Linear Models
A small example on how to do multi label, multi class classification using scikit-learn.
In this repo I show different examples of random sampling with multiprocessing
A set of Python modules for downloading, parsing, and outputting data related to the Supreme Court.
a smaller, cleaner, campaign finance app that complements the new FEC site
Here I tested a different way of doing hyperparameter optimization in one-vs-rest classifiers.
Core repo for election results data acquisition, transformation and output.
Repo for my polling average for the German federal election in 2021
Ecological inference data for primaries 2020
Playing around with supreme court stats
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.