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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 PE (Portable Executable) packer with Huffman Compression and Xor encryption.

  • huffman-compression
  • huffman-algorithm
  • pe-header
  • packer

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

Phraser is a phrase generator using n-grams and Markov chains to generate phrases for passphrase cracking. The generated phraselists can be used as wordlists in your favourite password cracking application.

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