Boost.org signals2 module
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.NET wrapper around the LibSass library with the ability to support a virtual file system.
JSAR: browser engine library designed for the Spatial Web. You can use it to mix-render different modern Web 2D and 3D contents together.
- webxr
- browser-engine
- webgl
A Camouflage Proxy for the Tor Anonymity System
The Configurable Math Library
- vector-math
- expression-template
- cplusplus-11
- graphics
The Tor Path Simulator
Overlay for Game Boy Printer emulator with e-paper feature and complete support, hints and savestates for the 110 compatible games !
Repository for the slides and the code of my "Quick game development with C++11/C++14" CppCon 2014 talk.
Automatic generation of N-API wrapper from a C++ library
- napi
- n-api
- nodejs
- node-addon-api
Automatically exported from code.google.com/p/accidental-noise-library
This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)
The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
A GameBoy printer emulator which provides the received data over a wifi-connection.
- gameboy-camera
- gameboy-printer
- gameboy-printer-emulator
Tool to find code cave in PE image (x86 / x64) - Find empty space to place code in PE files
- codecave
- cpp
- pe
- winapi
a tool to count accesses to member variables in c++ programs
A c++ Godot engine module, to layer, pack, and merge textures at runtime.
- godot-engine
- texture-packer
- atlases
- bake-textures
Enhanced CMake Project Manager plugin for Qt Creator
Editor for Minecraft NBT and schematic files
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
C++ implementation of RAVENNA AES67 ST2110-30 for desktop and (virtual) servers
OpenCSD: eBPF Computational Storage Device (CSD) for Zoned Namespace (ZNS) SSDs in QEMU
C++ REPL Tool Builder
- cpp
- cpp11
- cpp-library
- cli
Vulkan demos and tutorials.