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Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

A comprehensive set of composable foundational C++ libraries and CMake utilities to power Sourcemeta projects. Note we don't provide any stable ABI/API guarantees to external users outside Sourcemeta

  • cpp
  • cxx
  • json
  • json-pointer

Library and utilities to read and write broadcasting media files. Primarily supports the MXF file format

CMake BASIS makes it easy to create sharable software and libraries that work together. This is accomplished by combining and documenting some of the best practices and utilities available. This project supplies a fully integrated suite of functionality to make the whole process seamless!

  • cmake
  • project-template
  • project-creation
  • cmake-basis

A C++ Library for Linux based single board computers ( sbc ) to drive electronic displays. Developed and tested on Raspberry pi (5, 4 & 3).

  • erm19264
  • hd44780
  • library
  • nokia5110

C++17 serialization to JSON/JSONC, XML, YAML, CSV and MsgPack via one API, with self-contained built-in formats and optional fast_float acceleration.

  • csv
  • json
  • serialization
  • xml