lbdhr Goto Github PK

adafruit-beaglebone-io-python

Adafruit's BeagleBone IO Python Library

arduino_dy_irdaikin

Arduino control Daikin AC

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

baidu-netdisk-downloaderx

⚡️ 百度网盘不限速下载器 BND，支持 Windows、Mac 和 Linux。

boot-intel-edison-from-sdcard-with-debian-ubilinux

A way to boot Intel Edison board with the Root Filesystem on an external storage

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

chinese-std-gb-t-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

cloudcmd

✨☁️📁✨ Cloud Commander file manager for the web with console and editor.

comparative-analysis-of-spatial-and-temporal-models-on-pm2.5-concentration-in-beijing

This project demonstrated multiple spatial-temporal models to predict PM2.5 in Beijing based on the air quality data and meteorology data from 2017-01-31 to 2018-01-31 of several monitoring stations in Beijing.

dastnet

Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

data-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

dingdonghelper

叮咚买菜抢菜插件

dinglingling

dinglingling, your program over!

docs

Documentation for setting up OpenAPS

draw_convnet

drl

Deep Reinforcement Learning

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

fe-interview

🔥🔥🔥 前端面试，独有前端面试题详解，前端面试刷题必备，1000+前端面试真题，Html、Css、JavaScript、Vue、React、Node、TypeScript、Webpack、算法、网络与安全、浏览器

fernet

基于深度学习的面部表情识别

filed-experiment-data-high_sim

hands-on-rl

https://hrl.boyuai.com/

hcmd_dai

heiheihei

catch me if u can

help

【史上最详细的SS节点使用教程】

heroku-xray

使用Heroku部署Xray高性能代理服务，通过ws传输的 (vless)协议

hnsnjwhje

homebrew-install

homebrew安装使用中科大镜像

intelligent-traffic-based-on-cv

本项目是基于计算机视觉的端到端交通路口智能监控系统．采用的设计架构由SRS流媒体服务器、GPU服务器、Local客户端三部分组成．可将远端视频流通过rtmp协议传输到流媒体服务器，然后经过目标检测等一些列算法对视频进行分析，最后在本地客户端查看分析结果．项目主要用Python实现，流媒体服务器采用开源的SRS实时视频服务器搭建，GPU服务器使用YOLO模型实现道路目标如人、车、交通灯等物体的识别，同时还支持并发连接．客户端基于PyQt5进行开发．

lbdhr.github.io

This is My Personal Website.

livego

live video streaming server in golang