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cs131_finals_2016

Coding CS 131 Algorithms IPSE style

cs145waterlards

cs198199-fishid

ds_fellowship

facial-recognition-dt-ann-svm

A requirement for an Intro to Artificial Intelligence class. This is aimed to compare and contrast the performances of Decision Trees, Artificial Neural Networks and Support Vector Machines for a facial recognition program.

fishid_testpascalvoc

galois-field-calculator-gf-2-m-

iot-water-pipe-leakage

kdcc

git config --global credential.helper osxkeychain

letra-extension

Passively learn a new language every time you open a new tab

minimax-tictactoe

A requirement for an Intro to Artificial Intelligence class. Usage of Adversarial Search.

omdenalore_open

OmdenaLore library built by and for the Omdena local challenges

pathfinding-astar-ucs-greedy

A requirement for an Artificial Intelligence class

process-watcher

Watch Linux processes by polling /proc and notify via email or desktop notification when they complete.

skeleventy

A skeleton boilerplate built with Eleventy.

textdocumentclassifier

A requirement for an Intro to Artificial Intelligence class. Naive Bayes used for a Text Document Classifier. The training set was composed of 11,308 text documents and the testing set was composed of 7,538 text documents.