| 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 |