Starred repositories
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customizat…
🍅🍅🍅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~
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
📚JAVA、Spring、SpringMVC、SpringBoot、Mybatis、Vue、MySQL、MongoDB、Radis、Docker、Nginx、......笔记
🍃 A curated list of awesome MongoDB resources, libraries, tools and applications
A paper list of object detection using deep learning.
基于YOLOv5的卫星图像目标检测demo | A demo for satellite imagery object detection based on YOLOv5
deep learning for image processing including classification and object-detection etc.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
Base on YOLOv5 Head Person Helmet Detection on Construction Sites,基于目标检测工地安全帽和禁入危险区域识别系统,🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
All-in-One Development Tool based on PaddlePaddle(飞桨低代码开发工具)
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
ECCV 2024 论文和开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2024论文和开源项目
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.