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Luke Kurlandski's Projects

activelearning icon 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.

avl-tree icon avl-tree

AVL Tree used to store large amounts of data

caduceus icon caduceus

Bi-Directional Equivariant Long-Range DNA Sequence Modeling

csc-445-homework icon csc-445-homework

Luke and Matthew's location for sharing homework files, as part of our group.

glow-tts icon glow-tts

A Generative Flow for Text-to-Speech via Monotonic Alignment Search

hash-table icon hash-table

Implements a Hash Table and a Singly Linked List to work with extremely large text files.

huggingbadge icon huggingbadge

An implementation of the BADGE batch active learning algorithm.

lutils icon lutils

I often find myself implementing the same functionality across multiple projects. Here is a collection of utilities that I commonly need.

malconv2 icon malconv2

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection

mdalth icon mdalth

MDALTH: Modular Deep Active Learning on Torch & Huggingface

modal icon modal

A modular active learning framework for Python

operating-systems-labs icon operating-systems-labs

Short programming assignments to acquire hands on experience with programming operating systems and the C language.

pefile icon pefile

pefile is a Python module to read and work with PE (Portable Executable) files

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