Luke Kurlandski's repositories
ActiveLearning
Run and analyze active learning text classification experiments. Build on machine learning technology from Scikit-Learn, ModAL, huggingface, and gensim. Highly parallelized to run a high performance computer or your local machine. Used to publish papers in peer-reviewed conferences.
AdversarialEvasion
CSEC-720: Deep Learning Security Project II
caduceus
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Concept-Learner
Concept learning for CSC 426
CSC-445-Homework
Luke and Matthew's location for sharing homework files, as part of our group.
CSC380-Artificial-Intelligence
All homework assignments for CSC-380, Artificial Intelligence
Newport-Hologram-Creation
Object oriented GUI system to control machinery, process images, and create holograms.
FSA-Recognizer
CSC-427: Natural Language Processing
HuggingBadge
An implementation of the BADGE batch active learning algorithm.
MalConv2
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
MalwareDatasetManager
A bunch of scripts across various platforms to help me manage creating malware datasets.
MemoryMappingIssue
A minimalist example of some strangeness
modAL
A modular active learning framework for Python
PalmTree
Offical Implementation for PalmTree
pefile
pefile is a Python module to read and work with PE (Portable Executable) files
Perceptron-Learner
A basic perceptron learner configured to classify data from the iris dataset.
SLURMY
Demonstration of using SLURM for large model training.
test
Garbage repo for testing out dangerous git stuff ;)
Tic-Tac-Toe-Learner
A tic-tac-toe game for CSC426
WebsiteFingerprinting
Use deep learning to perform website fingerprinting.