Download JAR files tagged by sparse with all dependencies

A library with a large (sparse) array mapping each unicode code point to the annotation data for it provided in http://www.unicode.org/Public/UNIDATA/NamesList.txt

A library with a large (sparse) array mapping each unicode code point to the annotation data for it provided in http://www.unicode.org/Public/UNIDATA/NamesList.txt

A library with a large (sparse) array mapping each unicode code point to the annotation data for it provided in http://www.unicode.org/Public/UNIDATA/NamesList.txt

A library with a large (sparse) array mapping each unicode code point to the annotation data for it provided in http://www.unicode.org/Public/UNIDATA/NamesList.txt

A Maven plugin to perform a sparse checkout (fetch only a subtree) from a given Git repository

Server that uses a sparse map to represent content mapping closely to a colum database like Cassandra.

Generic utility which are not quite generic enough to make it to vpro-shared. TODO: This module is very sparse, I think we should consider dropping it altogether.

DashText is a Python package for DashVector's sparse-dense (hybrid) semantic search which contains a series of text utilities and an integrated tool named SparseVectorEncoder. For more information about DashText, please visit: https://help.aliyun.com/document_detail/2712434.html

Package for loading a directory containing MRI data in NIfTI format. The directory to be loaded must contain as many subdirectories as there are classes of MRI data. Each subdirectory name will be used as the class label for the corresponding .nii files in that subdirectory. (This is the same strategy as the one used by WEKA's TextDirectoryLoader.) Currently, the package only reads volume information for the first time slot from each .nii file. The readDoubleVol(short ttt) method from the Nifti1Dataset class (http://niftilib.sourceforge.net/java_api_html/Nifti1Dataset.html) is used to read the data for each volume into a sparse WEKA instance (with ttt=0). For an LxMxN volume (the dimensions must be the same for each .nii file in the directory!), the order of values in the generated instance is [(z_1, y_1, x_1), ..., (z_1, y_1, x_L), (z_1, y_2, x_1), ..., (z_1, y_M, x_L), (z_2, y_1, x_1), ..., (z_N, y_M, x_L)]. If the volume is an image, then only x and y coordinates are used.

The Universal Java Matrix Package (UJMP) is an open source library for dense and sparse matrix computations and linear algebra in Java. In addition to the basic operations like matrix multiplication, matrix inverse or decomposition methods, it also supports visualization, JDBC import/export and many other useful functions such as mean, correlation, standard deviation, mutual information, or the replacement of missing values. It's a swiss army knife for data processing in Java, tailored to machine learning applications.