Keyboard Maestro: Mac电脑效率神器
终于解决单手向右删除的痛点 Keyboard Maestro 软件很是强大。 ReadMore: Keyboard Maestro 入门指南
READ MORE
win10双线网络设置
++++++ 双线网络设置 ++++++++ Wlan 设置跃点数1 [重要] 说明：这个使0.0.0.0的路由冲突时，可以优先走wlan 几个命令： 查看本机ip等信息： ipconfig 查看Route信息：route print 配置route信息： route -p add 172.23.0.0 mask 255.255.255.128 172.23.15.129 临时添加（不带-p）： route add 172.16.0.0 mask 255.255.255.128 172.23.15.129 route add 172.16.0.0 mask 255.255.255.128 172.16.99.86 ++++++++++++++++++++++++++++++ 2021年9月6日10:31:47更新： 1. 首先删除默认路由 0.0.0.0： route delete 0.0.0.0 2. 添加默认外网路由： route add -p 0.0.0.0 mask 255.255.255.0 192.168.1.1 说明： 192.168.1.1 (是你的外网网关) 这里会造成0.0.0.0的路由冲突（机器重启后），还是通过wlan的跃点数来设置！！ 3. 添加内网路由： route add -p 10.16.0.0 mask 255.255.128.0 10.16.0.1 说明：10.16.0.0 - 内网ip分配到的是 10.16.36.9， 这里取前2段，意思是这个网段内（内网网段）就走内网的网关10.16.36.9 。。。如果你的内网ip是 19.11.1.19， 那么相应的：19.11.0.0 此处我的ip是： IPv4 地址 . . . . . . .
…ESP8266 wifi configuration with AP mode
#ESP8266 wifi configuration with AP mode Thanks for the github repository: tzapu/WiFiManager Although we all know that we can use the AP mode to configure the wifi password for ESP8266, it still takes time to implement the specific code line by line. Now, with the help of this project, I just need to share the steps to get this project running on our own ESP8266 chip. Note that the ESP8266 SmartConfig is another covenient way for wifi password broadcasting. wifikit8 https://heltec.
…简单的python web服务器（附编码设置）
A basic web server implemented by python3.6 Note: the encoding-related configuration in line: self.send_header('Content-type','text/html; charset=utf-8') 注意：python web服务器 编码问题 import csv from http.server import BaseHTTPRequestHandler, HTTPServer class handler(BaseHTTPRequestHandler): Page = '''\ <html> <meta content="text/html;charset=utf-8" http-equiv="Content-Type"> <meta content="utf-8" http-equiv="encoding"> <body> <p>Hello, I am great Chinese!</p> </body> </html> ''' def parse_csv(self): lines = [] with open('my_content.csv', 'r') as file: reader = csv.reader(file) for row in reader: lines.append(row) file.close() return str(lines[0]) def do_GET(self): self.send_response(200) self.send_header('Content-type','text/html; charset=utf-8') self.end_headers() message = self.parse_csv() #message = 'Hello beijing 北京' self.
…中国计算机学会(CCF)推荐国际学术期刊目录(2019)
#中国计算机学会(CCF)推荐国际学术期刊目录(2019) Table of contents 中国计算机学会(CCF)推荐国际学术期刊目录(2019) (数据库/数据挖掘/内容检索) （人工智能） （交叉/综合/新兴） （计算机体系结构/并行与分布计算/存储系统） （计算机网络） （网络与信息安全） （软件工程/系统软件/程序设计语言） （计算机科学理论） （计算机图形学与多媒体） （人机交互与普适计算） (数据库/数据挖掘/内容检索) 一、A类 ####### 序号 刊物简称 刊物全称 出版社 网址 1 TODS ACM Transactions on Database Systems ACM http://dblp.uni-trier.de/db/journals/tods/ 2 TOIS ACM Transactions on Information Systems ACM http://dblp.uni-trier.de/db/journals/tois/ 3 TKDE IEEE Transactions on Knowledge and Data Engineering IEEE http://dblp.uni-trier.de/db/journals/tkde/ 4 VLDBJ The VLDB Journal Springer http://dblp.uni-trier.de/db/journals/vldb/ 二、B类 序号 刊物简称 刊物全称 出版社 网址 (^1) TKDD ACM Transactions on Knowledge Discovery from Data ACM http://dblp.uni-trier.de/db/journals/tkdd/ (^2) TWEB ACM Transactions on the Web ACM http://dblp.
…中国计算机学会(CCF)推荐国际学术会议目录(2019)
中国计算机学会(CCF)推荐国际学术会议目录(2019) (数据库／数据挖掘／内容检索) 一、A类 序号 会议简称 会议全称 出版社 网址 (^1) SIGMOD ACM Conference on Management of Data ACM http://dblp.uni-trier.de/db/conf/sigmod/ (^2) SIGKDD ACM Knowledge Discovery and Data Mining ACM http://dblp.uni-trier.de/db/conf/kdd/ (^3) ICDE IEEE International Conference on Data Engineering IEEE http://dblp.uni-trier.de/db/conf/icde/ (^4) SIGIR International Conference on Research on Development in Information Retrieval ACM http://dblp.uni-trier.de/db/conf/sigir/ (^5) VLDB International Conference on Very Large Data Bases Morgan Kaufmann//ACM http://dblp.uni-trier.de/db/conf/vldb/ 二、B类 序号 会议简称 会议全称 出版社 网址 (^1) CIKM ACM International Conference on Information and Knowledge Management ACM http://dblp.
…Getting started with Graph Convolutional Networks as an Amateur
Getting started with Graph Convolutional Networks as an Amateur https://zhuanlan.zhihu.com/p/27587371 https://www.cnblogs.com/wangxiaocvpr/p/8306519.html https://www.cnblogs.com/wangxiaocvpr/p/8299336.html https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-7d2250723780 GCN是一种强大的神经网络，旨在直接在图上工作并利用其结构信息。这篇文章是关于如何用图卷积网络（GCN）在图上进行深度学习的系列文章的第一篇。该系列的包含： 本篇：一个高层级的GCN介绍 谱图卷积的半监督学习 最基本的代码实现GCN – 一个高层级的GCN介绍 In this post, I will illustrate how information is propagated through the hidden layers of a GCN using coding examples. 看看GCN是如何从前几层聚合信息的，以及这种机制是如何产生图中节点的有用特征表示的。 ref link in Chinese中文 看看GCN的输入是啥 Given a graph $G = (V, E)$ , a GCN takes as input: adjacency matrix $\mathbf{A}$ of $G$. N × N an input feature matrix, $N × F⁰$ feature matrix, $\mathbf{X}$, where N is the number of nodes and F⁰ is the number of input features for each node 图示是一个例子
…install usbmount on debian for orangePi / raspberryPi
install usbmount on debian for orangePi / raspberryPi USBmount was removed from Debian a while back because the version from the repositories no longer works. It’s still available in Ubuntu, but it does not work properly in Ubuntu 18.04 and newer. The bug was fixed in the USBmount git though, so you can build your own updated USBmount package that works in both Debian and Ubuntu (and on Raspbian / Ubuntu MATE for Raspberry Pi). Start by installing Git and downloading the latest USBmount Git code:
…Implementing comment for jekyll blog with github pull request
利用pull request实现 jekyll 博客评论功能 Implementing comment for jekyll blog with github pull request 1. The refered blogs: https://damieng.com/blog/2018/05/28/wordpress-to-jekyll-comments https://haacked.com/archive/2018/06/24/comments-for-jekyll-blogs/ The github repos that needed: https://github.com/damieng/jekyll-blog-comments This is for the static layout/html contents supporting comment functions. https://github.com/haacked/jekyll-blog-comments-azure This is for the dynamic Azure Function code, which is forked from: https://github.com/Azure-Functions/jekyll-blog-comments 2. Steps and notes for jekyll comment box building The idea is use data files in Jekyll to store comments and some liquid templates to render them. That all can be static.
…抛弃清华源，使用SJTU的镜像 for Anaconda
使用SJTU的Anaconda镜像 清华TUNA的Anaconda镜像不稳，好的时候一切顺利，坏的时候一个24K的包下5分钟；Anaconda的官方源则更惨，连repo.json都下不下来； 今天又是清华的源大姨妈的一天：Pytorch下载到100MB就超时，折腾了三个小时也装不上。而同在华东的SJTU的镜像就很稳定，这次全线换成SJTU啦。 首先执行 conda config --set show_channel_urls yes 在/usr下生成.condarc文件，然后将其内容替换为 channels: - defaults show_channel_urls: true channel_alias: https://anaconda.mirrors.sjtug.sjtu.edu.cn default_channels: - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/main - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/free - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/r - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/pro - https://anaconda.mirrors.sjtug.sjtu.edu.cn/pkgs/msys2 custom_channels: conda-forge: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud msys2: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud bioconda: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud menpo: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud pytorch: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud simpleitk: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud 再运行conda clean -i清除索引缓存即可。 终于装上Pytorch了，可喜可贺😂