lkurlandski Goto Github PK
Name: Luke Kurlandski
Type: User
Bio: ML & Malware
Name: Luke Kurlandski
Type: User
Bio: ML & Malware
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.
CSEC-720: Deep Learning Security Project II
AVL Tree used to store large amounts of data
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Concept learning for CSC 426
Luke and Matthew's location for sharing homework files, as part of our group.
All homework assignments for CSC-380, Artificial Intelligence
CSC-427: Natural Language Processing
A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Reading the book, Hands on Machine Learning with scikitlearn and tensorflow.
Implements a Hash Table and a Singly Linked List to work with extremely large text files.
An implementation of the BADGE batch active learning algorithm.
A few calculators in Java and Python to assist with Linear Algebra course and learn Python.
I often find myself implementing the same functionality across multiple projects. Here is a collection of utilities that I commonly need.
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
A bunch of scripts across various platforms to help me manage creating malware datasets.
MDALTH: Modular Deep Active Learning on Torch & Huggingface
A minimalist example of some strangeness
A modular active learning framework for Python
Object oriented GUI system to control machinery, process images, and create holograms.
Short programming assignments to acquire hands on experience with programming operating systems and the C language.
Offical Implementation for PalmTree
pefile is a Python module to read and work with PE (Portable Executable) files
A basic perceptron learner configured to classify data from the iris dataset.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.