The Serenity Operating System 🐞
- operating-system
- c-plus-plus
- os
- unix
Repository Index
47,133 repositories indexed
1–14 of 14 · Most stars
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
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
An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS (Robotic Operating System) applications written in C++
- state-machine
- ros
- ros-packages
- navigation
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
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