Code repository for Vulkan Cookbook by Packt
- vulkan
- vulkan-api
- vulkan-demos
- cpp
47,133 repositories indexed
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Code repository for Vulkan Cookbook by Packt
A header-only C++ library for large scale eigenvalue problems
A C++, header-only library for constructing JSON and JSON-like data formats, with JSON Pointer, JSON Patch, JSON Schema, JSONPath, JMESPath, CSV, MessagePack, CBOR, BSON, UBJSON, toon-format
C++ header-only JSON library
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
Numerical linear algebra software package
A ROS package that extracts line segments from LaserScan messages.
ESP32 Packet Monitor + SD card!
An automated Themida / Code Virtualizer / WinLicense (v3.0-v4) unpacker and dump fixer tool
An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS (Robotic Operating System) applications written in C++
JSK perception ROS packages
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
C++ application that uses memory and code hooks to detect packers
High efficient and fast 2D bin packing tool
Code repository for Learning Vulkan, published by Packt
A pintool in order to unpack malware
Code repository for Mastering Qt 5 published by Packt
Open source Windows x64 PE packer and crypter. Compresses and encrypts executables with a custom virtual machine into a self extracting stub.
A simple, cross-platform utility to classify packets into flows using only the essential 4-tuple.
Catkin package that provides lidar motion undistortion based on an external 6DoF pose estimation input.
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
R package for segmentation, registration and generating web-based brain atlases from microscope images
A c++ Godot engine module, to layer, pack, and merge textures at runtime.
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.