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Jesse Rosalia's Projects

abagail icon abagail

The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

android-quill icon android-quill

Fork of android-quill, currently located at http://code.google.com/p/android-quill/

andrormeda icon andrormeda

AndrORMeda: A dirt simple ORM layer for Android.

anylist icon anylist

📋 a wrapper for AnyList's API (unoffical, reverse engineered)

au2017 icon au2017

Project files for SD125713 - Testing strategies for python add-ins, presented at Autodesk University 2017

bandalore icon bandalore

A Clojure client library for Amazon's Simple Queue Service (SQS)

bluetooth-test icon bluetooth-test

A test of bluetooth discovery, pairing, and message passing on an Android phone

class-planner icon class-planner

Implementation of a class schedule planner for The Agency Fall 2013

clj-datastore icon clj-datastore

A data store abstraction for storing, updating, and retrieving Clojure object maps, and a simple implementation using local files.

clj-http-trace icon clj-http-trace

A clj-http helper for mocking http responses by using recorded httptrace files

clj-loopback icon clj-loopback

A SUPER simple Ring server that just echos the request object as a json response. Useful for writing integration tests for reverse proxies and load balancers.

decisions-sq icon decisions-sq

A project to hold algorithms, libraries, and supporting code for decision making and learning systems.

demolist icon demolist

A quick demonstration of a custom list adapter in Android.

diawi-cli icon diawi-cli

A simple command line script to deploy Ad-Hoc iOS apps using diawi.com

dotfiles icon dotfiles

Configuration files and submodules for vim bundles

drawinglib-ios icon drawinglib-ios

A collection of shapes and drawable objects, and support classes for simple drawing and animation

em-lisp icon em-lisp

An implementation of expectation maximization and k-means clustering in Common Lisp

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