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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.

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

  • deep-learning-library
  • dynamic-batching
  • nlp

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

### This project has been merged ESPHelper. Please use https://github.com/ItKindaWorks/ESPHelper ### A port of the ESPHelper library for ESP32 devices

Audio Definition Model (ITU-R BS.2076) handling library

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

Modern, fast and ergonomic C++ HTTP/1.1, HTTP/2 and WebSocket server & client library for Linux, macOS and Windows, perfect for microservices.

HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.