Chris Garry (@chrislgarry)

Top repositories

1

Apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Assembly
57,584
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2

Security

Implementations of security algorithms.
C
52
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3

KalmanFilter

MATLAB implementation of a simple Kalman filter.
MATLAB
18
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4

HarkVisualizer

A web app written with the Tornado framework for speech detection and localization in 8-channel flac/wav audio. Try it out with the test.wav file.
JavaScript
18
star
5

Leap

Leap Motion controller project. Control your web browser using gestures..
JavaScript
18
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6

XFinityHotspotSpoofer

MacOS only. Spoof an XFinity Hotspot to get unlimited free internet trials by rotating MAC address
Shell
13
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7

Robotics

Code repository for controller, vision, and path planning code for the following simulated mobile robot (http://bit.ly/1bD0sgJ).
C
8
star
8

GestureMatching

Implementations of various math functions.
C
5
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9

SlackTerminator

Simple script to delete all of the messages in a slack channel.
Python
3
star
10

Robot-Table-Tennis-Mexfiles

A collection of MEX files I've written which port C functions to be called in the MATLAB environment.
C
3
star
11

AwsDeepReinforcementLearning

Deep Reinforcement Learning for Robotics in AWS
Jupyter Notebook
3
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12

Supervised-Digit-Classification

A small project I did to classify handwritten digits using Bayesian Inference and Maximum A Posterior probability estimates.
MATLAB
2
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13

Sandbox

Collection of programs and scripts that I've made for both pratical reasons and just for fun.
Java
2
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14

kopikatto

Search a phrase in Japanese and see how many times it has been used online.
HTML
1
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15

chrislgarry

1
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16

WCRB

Simple script to record daily stream of classical music station WCRB.
Shell
1
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17

dotfiles

Vim Script
1
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18

iris_classifier

Neural network implementation for classifing Iris flowers from their dimensions
Python
1
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19

Greedy-Feature-Selection

A greedy feature selection algorithm for my supervised digit classifier using a bounded information gain. This code indicates which n features are the best for predicting the class labels in the digits dataset.
C
1
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