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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.

Redspot is an Substrate pallet-contracts (ink!) development environment. Compile your contracts and run them on a different networks. Redspot's core forks from Hardhat but changed a lot to suit substrate.

Server-side framework for Dart/Dartlang with a built-in middleware system.

An object-relational mapping (ORM) framework for D language (Similar to JPA / Doctrine), support PostgreSQL and MySQL.

  • dlang
  • entity
  • orm
  • hibernate

This tool analyzes a given Gitlab repository and searches for dangling or force-pushed commits containing potential secret or interesting information.

The fast path to autolayout views in code

  • autolayout
  • visual-format-language
  • visualformatlanguage
  • vfl