Linux kernel source tree

Convolutional Neural Networks

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

The source for the Linux kernel used in Windows Subsystem for Linux 2 (WSL2)

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

📘《TCP/IP网络编程》(韩-尹圣雨)学习笔记

High-efficiency floating-point neural network inference operators for mobile, server, and Web

⚡ Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and …

个人整理的《深入理解计算机系统》中文电子版（原书第 3 版）与实验材料：https://hansimov.gitbook.io/csapp/

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

Intel XeSS SDK

RTSP server based on GStreamer. This module has been merged into the main GStreamer repo for further development.

This is ROCgdb, the ROCm source-level debugger for Linux, based on GDB, the GNU source-level debugger.

Vulkan Compute Pipeline Demo (Gaussian Blur/GEMM/Flash Attention2/...)