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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.

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

  • deep-learning-library
  • dynamic-batching
  • nlp

Quasi Engine is a framework that intends to be a complete toolset to ease 2d game development, providing ready-to-use QML elements representing basic game entities needed by most of games.

CMake BASIS makes it easy to create sharable software and libraries that work together. This is accomplished by combining and documenting some of the best practices and utilities available. This project supplies a fully integrated suite of functionality to make the whole process seamless!

  • cmake
  • project-template
  • project-creation
  • cmake-basis

Vulkan Ignoble Software Rasterizer: Software rasterizer implementing Vulkan. Just for fun.

  • vulkan
  • vulkan-api
  • rasterizer

HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.