libatrilview3t64

MATE document viewing library

Atril is a simple multi-page document viewer. It can display and print PostScript (PS), Encapsulated PostScript (EPS), DJVU, DVI, EPUB, ComicBook and Portable Document Format (PDF) files.

rtl-ais

simple AIS tuner and generic dual-frequency FM demodulator

This provides the rtl_ais command, which decodes AIS data from Software Defined Radio (SDR) and outputs AIVDM / AIVDO sentences.

python3-pycm

Multi-class confusion matrix library

PyCM supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and accurate evaluation of a large variety of classifiers.

python3-calendarweek

Utilities for working with calendar weeks in Python and Django

python-calendarweek provides a CalendarWeek dataclass for representing one week in a year, and utility functions to work with it in pure Python or Django.

libarpack2t64

Fortran77 subroutines to solve large scale eigenvalue problems

ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant application areas. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. Storage requirements are on the order of n*k locations. No auxiliary storage is required. A set of Schur basis vectors for the desired k-dimensional eigen-space is computed which is numerically orthogonal to working precision. Numerically accurate eigenvectors are available on request.

libarmnntfliteparser24t64

Arm NN TensorFlow Lite parser library

Arm NN is a set of tools that enables machine learning workloads on any hardware. It provides a bridge between existing neural network frameworks and whatever hardware is available and supported. On arm architectures (arm64 and armhf) it utilizes the Arm Compute Library to target Cortex-A CPUs, Mali GPUs and Ethos NPUs as efficiently as possible. On other architectures/hardware it falls back to unoptimised functions.