Search Results for "v-lab"
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Showing 12 open source projects for "v-lab"
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1
Shaderc
A collection of tools, libraries, and tests for Vulkan shader
...Meanwhile, libshaderc exposes a stable API that allows developers to programmatically compile shader strings into SPIR-V modules within graphics engines and tools. Shaderc supports advanced features such as file inclusion (#include), concurrency, and cross-platform builds, and it maintains backward compatibility for long-term projects. -
2
mold
A Modern Linker
...The tool is designed to integrate seamlessly into existing build systems, requiring minimal configuration changes to adopt. Mold supports a wide range of architectures, including x86-64, ARM, RISC-V, and PowerPC, making it suitable for diverse development environments. -
3
XNNPACK
High-efficiency floating-point neural network inference operators
XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile, ONNX Runtime, TensorFlow.js, and MediaPipe. The library is written in C/C++ and designed for maximum portability, efficiency, and performance, leveraging platform-specific instruction sets (e.g., NEON, AVX, SIMD) for optimized execution. ... -
4
VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. Additional support... -
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5
oneDNN
oneAPI Deep Neural Network Library (oneDNN)
...The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following architectures: Arm* 64-bit Architecture (AArch64), NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Deep learning practitioners should use one of the applications enabled with oneDNN. -
6
Dynamic Arrays and Hashes (Delphi, C++)
Incredibly fast Dynamic Arrays classes written in Delphi and C++
(New version 1.05 is released) Dynamic Arrays is a set of useful incredibly fast classes for data manipulating in memory. Flexible memory control, functionality that standard containers do not have, fast operations (assembler implementation for x86 and x64 platforms). Available for Delphi all latest versions and for C++. Powerful Hash and Double Hash classes to work with pairs of values (key and value) and with values that have two keys (key1, key2, value). Give it a try and let me... -
7
[OFFICIAL] tinyfiledialogs C C++ v3.21.3
inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal
one C/C++ file & header ==> 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & head-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix... -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. ... -
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ArduinoVGA
Librería para generación de señales de VGA con Arduino estándar
http://luispichio.blogspot.com.ar/ http://luispichio.blogspot.com.ar/2015/05/arduino-generacion-de-senales-de-vga.html http://luispichio.blogspot.com.ar/2016/06/arduino-generacion-de-senales-de-vga.html Videos Arduino DUE https://www.youtube.com/watch?v=ZNadrVivVIQ https://www.youtube.com/watch?v=tSK98D-VxVg Arduino https://www.youtube.com/watch?v=WqUPCK4U-yc https://www.youtube.com/watch?v=_LDAx8MQrDc -
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10
ArduinoRCLib
Library for Arduino based R/C equipment
A library containing functions for building Arduino based R/C equipment like transmitters, receivers and flight controllers. -
11
New CTruck3D Rally
Free-roaming 3D racing game featuring advanced terrain rendering
...KEYS: mouse: primary camera control arrows: drive vehicle ; SHIFT: turbo ; TAB: change car. o: change camera ; 1,2: zoom-in/out ; 3,4 : horizontal and vertical camera placement (internal view) u: respawn car c,v,f,r :secondary camera control. 8,9:plane drv -
12
libwifibot
Linux C++ library to use the wifibot mobile robot.
This is a small low level library written in C++ to control the wifibot lab mobile robot. More information about the robot here : http://www.wifibot.com/
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