Open Source Computer Vision Library

LLM inference in C/C++

这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件，并支持任务栏显示，支持更换皮肤。

A brief computer graphics / rendering course

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A C++ header-only HTTP/HTTPS server and client library

Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

FlashMLA: Efficient MLA decoding kernels

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/READ…

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

Repository for OpenCV's extra modules

Main gperftools repository

Transformer related optimization, including BERT, GPT

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

剑指Offer——名企面试官精讲典型编程题

Caffe: a fast open framework for deep learning.

A fast single-producer, single-consumer lock-free queue for C++

高性能并行编程与优化 - 课件

A machine learning compiler for GPUs, CPUs, and ML accelerators

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

llm deploy project based mnn. This project has merged into MNN.

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver