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Fast and exact implementation of the C++ from_chars functions for number types: 4x to 10x faster than strtod, part of GCC 12, MySQL, DuckDB, Chromium, Redis and WebKit/Safari

  • cpp11
  • cpp17
  • cpp-library
  • high-performance

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

[INACTIVE] Avian is a lightweight virtual machine and class library designed to provide a useful subset of Java's features, suitable for building self-contained applications.

  • java
  • jit-compiler
  • openjdk
  • jvm

A lightweight high performance tensor algebra framework for modern C++

  • tensors
  • tensor-contraction
  • multidimensional-arrays
  • simd

An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.

  • cpp
  • cplusplus
  • cplusplus-17
  • actor-model

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

  • optimization
  • optimization-algorithms
  • optimization-methods
  • optimization-problem

Open source Windows x64 PE packer and crypter. Compresses and encrypts executables with a custom virtual machine into a self extracting stub.

  • compression
  • packer
  • pe-packer
  • pe-compress

A realtime visual programming language for interactive media.

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.