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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.

OpenEHR library implementing ADL 2, AOM 2, BMM, RM 1.0.4 and many tools

  • tools

UNIS: A Common Architecture for String Utilities within the Go Programming Language.

  • golang
  • string
  • utility-wrapper

ThreatTracker is a Python script designed to monitor and generate alerts on given sets of indicators of compromise (IOCs) indexed by a set of Google Custom Search Engines.