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MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
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Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
rdspring1/MISSION 13 0 0 over 6 years ago 0 2 apache-2.0 C++
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
GeorgesAlkhouri/l3wtransformer 9 0 0 over 8 years ago 2 October 29, 2018 2 mit Python
A word hashing method based on vectors of letter n-grams. Currently transforms text into sequences of numbers.
dustin-decker/featuremill 8 0 0 over 8 years ago 1 March 17, 2018 0 apache-2.0 Go
general-purpose fast, stateless, and deterministic feature extractor written in golang for use in machine learning
slowikj/seqR 8 0 0 over 4 years ago 1 September 15, 2021 7 C++
fast and comprehensive k-mer counting package
benedekrozemberczki/NestedSubtreeHash 7 0 0 almost 4 years ago 0 0 gpl-3.0 Python
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
yinleon/Disinfo-Doppler 6 0 0 over 5 years ago 0 0 Jupyter Notebook
A collection of code to help study images
Defcon27/Content-Based-Image-Retrieval-CBIR-using-Image-Feature-Extraction 5 0 0 over 6 years ago 0 C++
This is a Content Based Image Retrieval System(CBIR) where the program takes some input images and extracts the image feature vectors and stores them. When another image is given as a query image to the program it searches for all similar images that are given as input
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