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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