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1,105–1,128 of 1,500 · Most stars

Lightweight, zero-dependency Ruby library for parsing the Accept-Language HTTP header. Implements RFC 4647 Basic Filtering to match user language preferences against available locales. Supports quality values, wildcards, exclusions, prefix matching, and BCP 47 tags.

  • http
  • accept-language-parser
  • accept-language

A super fast and easy-to-use layout library for iOS. FrameLayoutKit supports complex layouts, including chaining and nesting layout with simple and intuitive operand syntax.

  • layout
  • layout-engine
  • layoutkit
  • autolayout

SpTBXLib is an expansion package for TB2K Delphi components that adds multiple features including support for styles and custom skins.

  • delphi
  • sptbxlib
  • tb2k
  • vcl

Capacitor File Opener. The plugin is able to open a file given the mimeType and the file uri. This plugin is similar to cordova-plugin-file-opener2 without installation support.

A Go package for sending and receiving ethernet frames. Currently supporting Linux, Freebsd, and OS X.

Web application to manage CSA (Community Supported Agriculture), ACP (Agriculture Contractuelle de Proximité) or Solawi (Solidarische Landwirtschaft) organizations.

MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.

A Go package for n-gram based text categorization, with support for utf-8 and raw text

Dependency injection framework for D with support for autowiring.

  • d
  • dependency-injection
  • ioc
  • poodinis

Lightweight cURL wrapper for C# with support for curl_multi polling interface through libuv

  • curl
  • libcurl
  • libuv
  • multiprocessing

Spring data gremlin makes it easier to implement Graph based repositories. This module extends Spring Data to allow support for potentially any Graph database that implements the Tinkerpop Blueprints 2.x API.

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.