Repository Index

Presentation materials for C++Now 2016

Support for ROS-enabled RGBD data acquisition in Unreal Engine Projects

• unreal-engine-4
• ros

The repository host gives no description.

• rubyml
• machine-learning
• ruby
• ml

C++ implementation of Vulkan sitting on D3D12 :cat2:

A powerful cross-platform audio engine, optimized for games.

• audio
• audio-programming
• sdk
• cpp

A ROS implementation of Fast and Safe Tracking (FaSTrack).

A GameBoy printer emulator which provides the received data over a wifi-connection.

• gameboy-camera
• gameboy-printer
• gameboy-printer-emulator

Source code for cross-platform OpenGL gaming engine

• warsow

Tool to find code cave in PE image (x86 / x64) - Find empty space to place code in PE files

• codecave
• cpp
• pe
• winapi

Latte Dock NG is a Wayland-first dock for KDE Plasma 6.5+ that provides an elegant and intuitive experience for your tasks and widgets. It animates its contents using a parabolic zoom effect and stays out of the way when not needed.

R and C++11

a tool to count accesses to member variables in c++ programs

A C++ data container replicating std::stack functionality but with better performance than standard library containers in a stack context.

• stack
• cpp
• container

Integrates the NDI® SDK with Godot

• gdextension
• godot
• godot-engine
• ndi

A c++ Godot engine module, to layer, pack, and merge textures at runtime.

• godot-engine
• texture-packer
• atlases
• bake-textures

Very simple C++ JSON Parser

Common Lisp and CXX interoperation with JIT

• jit
• interoperability
• common-lisp
• cpp17

Enhanced CMake Project Manager plugin for Qt Creator

Multi-core Window-Based Stream Processing Engine

• llvm
• incremental-computation
• aggregation
• stream-processing

Editor for Minecraft NBT and schematic files

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

Free software clone of Gunpoint

C++ implementation of RAVENNA AES67 ST2110-30 for desktop and (virtual) servers