wesmadrigal

GraphReduce

Abstractions for feature engineering on large graphs of tabular data.

datanectar

A project for streamlining large scale ETL and data science pipelines.

journeyplanner

An innovative way of accomplishing journey planning with Megabus [Utilizing many algorithms from busapp]

fsmirror

Filesystem mirror for metadata tracking and management

functional_demo

Functional programming demo

topics

A topic classifier

algorithms-from-scratch

Writing different algorithms from scratch

azure-cli

Azure Command-Line Interface

bitdata

A python interface to Bit.ly Data APIs.

btlejack

Bluetooth Low Energy Swiss-army knife

ccv2

Career Consolidate v2

covid

cpp_learning

basic cpp

django

The Web framework for perfectionists with deadlines.

fantasy

fantasy football data mining

flightPaths

A travel planning algorithm that optimizes travel by distance using a graphing algorithm similar to dijkstras

force-graph

Force-directed graph rendered on HTML5 canvas

JenkinsStatusBoard

An external status board for Jenkins Build statuses that can be used on dashboard apps that don't allow you to sign into Jenkins

JiraWorkInProgressBoard

A dashboard view for work in progress capacity status of Jira boards

jsonschema2db

Generate tables dynamically from a JSON Schema and insert data

k8s_with_ray

messing around with ray on Kubernetes

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

manim

A community-maintained Python framework for creating mathematical animations.

mechanize

Stateful programmatic web browsing in Python, after Andy Lester's Perl module WWW::Mechanize .

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

ray_tutorial

An introductory tutorial about leveraging Ray core features for distributed patterns.

sentiment

messing around with sentiment analysis from the rotten tomatoes dataset

skll

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

sockproc

A mini parallelizing library I wrote

USA-Constitution

A history of edits to the US Constitution as it has been amended. Written in markdown to match original formatting.