pix2tex: Using a ViT to convert images of equations into LaTeX code.

PDF及公式识别Implementation of Nougat Neural Optical Understanding for Academic Documents

MAX30102 Pulse Oximetry Sensor code for Raspberry Pi

Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

OpenCV/Python四小时使用教程资料 Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

Bottleneck Transformers for Visual Recognition

MQTT X - Elegant MQTT 5.0 Client Tool of Cross-platform

This repository is an unoffical PyTorch implementation of Medical segmentation in 3D and 2D.

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

The actual code for GWSL. And some premade binaries.

CUDA on Intel GPUs

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

fvid is a project that aims to encode any file as a video using 1-bit color images to survive compression algorithms for data retrieval.

This repository is unofficial porting of Arduino sample code of MAXRESDEF117#(max30102) HR/SpO2 sensor

小麦检测-使用EfficientDet--This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)

Code of kaggle semantic segmentation competition: Steel Defect Detection.

一款轻量级、高性能、功能强大的内网穿透代理服务器。支持tcp、udp、socks5、http等几乎所有流量转发，可用来访问内网网站、本地支付接口调试、ssh访问、远程桌面，内网dns解析、内网socks5代理等等……，并带有功能强大的web管理端。a lightweight, high-performance, powerful intranet penetration proxy serv…

柠檬质量控制数据集Lemons quality control dataset

PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5

手写实现李航《统计学习方法》书中全部算法

YOLO-V3模型压缩 加速 Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

Matplotlib官方速查表Official Matplotlib cheat sheets

一键中文数据增强包 ；中文EDA； NLP数据增强、NER数据增强 ：pip install nlpcda

雷达实时生成环境3D图LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

The implementation of paper "Ultra Fast Structure-aware Deep Lane Detection"

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI 梯度下降 教程 动画

YOLOv5 in PyTorch > ONNX > CoreML > iOS