Repository Index

The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.

• asset-pipeline
• assets
• game-development
• c-plus-plus

Flexible level editor

• editor
• level
• qt
• c-plus-plus

Packages your JAR, assets and a JVM for distribution on Windows, Linux and Mac OS X

A Modular Optimization framework for Localization and mApping (MOLA)

• slam
• lidar
• lidar-point-cloud
• localization

Experimental native PC port of Lost Odyssey using static recompilation. No game assets included.

A tilemap editor for Game Boy, Color, Advance, DS, and SNES projects. Written in C++ with FLTK.

• tilemap
• tilemap-editor
• game-development
• gameboy

Entwine - point cloud organization for massive datasets

Native port of Metroid Prime 2: Echoes (GameCube) for Linux and Android, built from the PrimeDecomp decompilation. No emulator, no game assets included: bring your own disc image.

• android
• decompilation
• gamecube
• linux

Unofficial native Android port of Need for Speed: Most Wanted (Xbox Black Edition). The x86 code is statically recompiled to C++ with XboxXBE-Recomp and built for arm64, with a Vulkan renderer, SDL3, touch/controller/keyboard input, and extended graphics options. No emulator, no game assets included.

Real-time film emulation for Unreal Engine: 21 looks, grain, halation, lens effects, Blueprint controls and reusable presets.

• film-emulation
• hlsl
• post-processing
• unreal-engine

CloudPeek is a lightweight, cross-platform, single-header C++ point cloud viewer. It’s designed for simplicity and efficiency, requiring no heavy libraries like PCL or Open3D. Ideal for visualizing and interacting with 3D data from LiDAR, photogrammetry, or other datasets, CloudPeek delivers powerful, real-time exploration in a minimalistic package

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

Godot engine module for rendering Adobe Flash / SWF assets natively in-engine.

• flash
• godot
• godot-engine
• godot-module