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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...

libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals...

Visopsys is an alternative operating system for PC compatible computers. In development since 1997, this system is small, fast, and open source. It features a simple but functional graphical interface, pre-emptive multitasking, and virtual memory. Though it attempts to be compatible in a number of ways, Visopsys is not a clone of any other operating system. You can demo the distribution from a “live” CD/DVD or floppy disk

A simple open source OS with basic functions, libraries and drivers. Compatible with x86 arquitecture, 32bits(recomended). You can easily compile it, any time, by running the compiling script included in the archive. Meant for beginner or advanced programmers on C or ASM, Nanux can help you understand the functions of the operating system, or create one by yourself. Minimal requirements: - x86 Arquitecture, PC - CPU Intel Pentium I, 200 MHz or newer, (maybe AMD, but is not recommended) - 4 MiB of RAM - CD/DVD ROM, USB or Floppy to run the ISO Image - keyboard /*Future updates are coming :) */ ==================================== For any questions or comments about the project you can write me at: - bojidar_bob@abv.bg - bozhidar1991@gmail.com - Facebook: Bozhidar Peychev Please rate and comment this nice OS :) Thanks for using Nanux Kernel ====================================

OS X ( Intel IA-32 / 32-bit x86 assembler ) implementation of Albert van der Horst's ciforth/lina, an ISO forth which is an evolution of figforth. GNU Public Licence, as per the original lina.