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ai_pacman

Artificial Intelligence course project at the University of Arizona. Make Pacman smarter. Pacman AI projects were developed at UC Berkeley.

assignpointstoexistingclusters

Algorithms implemented in R for assigning training labels to point cloud clusters

bayesianupdating

Python scripts for updating distributions from observed data.

binaryclassifierparametergridsearch

Python and R code for grid searching through binary classifier parameter settings by cross validation.

build_openface_osx

OpenFace build notes & bash commands for building on OSX

centroidcorrespondence

contextcrossvalexperiments

Python and R code for testing a NLP Context classifier by cross validation.

datavizinrtutorial

Scripts and data to introduce basic data visualization concepts in R, including interactive graphics with plot.ly

deepmoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

dotconfigs

back up of some config files

ecosystemallometry

Python and R scripts that infer an ecosystem-state, species-agnostic allometric equation by generating data from species distributions and using cross-validation to infer the polynomial order and then the function itself of the species-agnostic allometric equation.

fed-recon

Federated reconnaissance mini-ImageNet benchmark and baseline models

file_transfer_scripts

Bash scripts for managing and transferring large video files for machine learning annotation.

gdal-cheat-sheet

Cheat sheet for GDAL/OGR command-line tools

generatepowersetconfigfiles

Scala application that generates the power set of a set of strings and writes to application.conf files. Useful for machine learning feature selection.

generatesvmparamsconfigfiles

Scala application that generates configuration files with different SVM parameters for grid search.

getstockdata

Python code for pulling and plotting stock data.

hydraulicredistribution

A small subset of analysis work as part of National Science Foundation project investigating hydraulic redistribution

hyperband

Tuning hyperparams fast with Hyperband

imagesegmentation-classification

Python scripts to segment images into superpixels and classify superpixels using Expectation Maximation of Gaussian Mixture Models.

installtensorflowonosx

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

kmeans.m

kMeans implementation in Matlab

kmeanstextfile

Runs k-means on a text file using OpenCV k-means implementation in C++.

landmarks

Code for plotting and analyzing facial landmarks from facial detection software and annotations.

laspy

Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.

learning-in-high-dimensions-always-amounts-to-extrapolation

Reproduction and extension of Balestriero et al. 2021 by retraining a CNN on MNIST to predict a range of embedding dimensions.

lidar2dems

Utilities using PDAL and PCL to create DTMs, DSMs, and CHMs from lidar data

lidr

R package for airborne LiDAR data manipulation and visualisation for forestry application

measureextremums

Python function to find and measure the distance between any two points in n-dimensional space.