Repository Index

The Serenity Operating System 🐞

• operating-system
• c-plus-plus
• os
• unix

A cross-platform file change monitor with multiple backends: Apple macOS File System Events, *BSD kqueue, Solaris/Illumos File Events Notification, Linux inotify and fanotify, Microsoft Windows and a stat()-based backend.

• event-notifications
• change-monitor
• fswatch
• kqueue

Cross compiling toolchains in Docker images

• docker
• cross-compiler-toolchain
• c-plus-plus
• c

The Boehm-Demers-Weiser conservative C/C++ Garbage Collector (bdwgc, also known as bdw-gc, boehm-gc, libgc)

• garbage-collection
• memory-management
• memory-leak-detection
• c

The fre:ac audio converter project

• audio
• converter
• cd-ripper
• windows

STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.

• allocator
• c-plus-plus
• memory-allocation
• memory

SIMD Vector Classes for C++

• vectorization
• parallel
• simd-vector
• simd-instructions

⚔️ A cross-platform, open source, and super fast MUD client with scripting in Lua

• mudlet
• lua
• cross-platform
• mud

DSP IIR realtime filter library written in C++

• signal-processing
• filters
• filter-plugin
• iir

CMake scripts for painless usage of SuiteSparse+METIS from Visual Studio and the rest of Windows/Linux/OSX IDEs supported by CMake

• c-plus-plus
• suitesparse
• cmake

A Pikmin-based game/engine for fan-made content.

• allegro
• c-plus-plus
• game-editor
• game-engine

Lightweight audio player & converter for FreeBSD/Linux/macOS

• audio
• player
• converter
• qt

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.

• svm
• regression
• classification
• machine-learning