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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.

StringDB is a modular, key/value pair archival DB designed to consume *tiny* amounts of ram & produce *tiny* databases.

A full-featured Swift library for JOSE standards with first-class support for CryptoKit keys, providing JWS, JWT, SD-JWT, and JWE with signing, encryption, and JWK key management.

  • jsonwebtoken
  • jws
  • jwt
  • json-web-key