No-root network monitor, firewall and PCAP dumper for Android

A cross-platform x86 assembler with an Intel-like syntax

Clash 和 sing-box 教程合集——安装、配置、自定义规则、DNS 分流

Model Zoo For OpenCV DNN and Benchmarks.

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

Darknet/YOLO object detection framework

Convolutional Neural Networks

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

🌮 Trash Annotations in Context Dataset Toolkit

Ultralytics YOLO11 🚀

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…

Caffe: a fast open framework for deep learning.

A flexible framework of neural networks for deep learning

Deep Learning for humans

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

rknn-3588部署yolov5，利用线程池实现npu推理加速；Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.

使用 C++11 实现的动态线程池

A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file infe…

A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web

A small thread-safe queue written in C

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

A Android MediaCodec Tutorial

the REDPlayer :)