| // go on you labels pages | |
| // eg https://github.com/cssnext/cssnext/labels | |
| // paste this script in your console | |
| // copy the output and now you can import it using https://github.com/popomore/github-labels ! | |
| var labels = []; | |
| [].slice.call(document.querySelectorAll(".label-link")) | |
| .forEach(function(element) { | |
| labels.push({ | |
| name: element.textContent.trim(), |
| [General] | |
| loglevel = notify | |
| skip-proxy = 127.0.0.1, 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12, 100.64.0.0/10, localhost, *.local, ::ffff:0:0:0:0/1, ::ffff:128:0:0:0/1 | |
| bypass-tun = 192.168.0.0/16, 10.0.0.0/8, 172.16.0.0/12 | |
| # dns-server = 119.29.29.29,223.5.5.5,114.114.115.115 | |
| # external-controller-access = [email protected]:6155 | |
| # ipv6 = true | |
| // REMEMBER TO CHANGE THE external-controller-access' PASSWORD |
| install.packages("rJava") | |
| install.packages("Rwordseg", repos="http://R-Forge.R-project.org") | |
| install.packages("tm") | |
| install.packages("tmcn", repos="http://R-Forge.R-project.org", type="source") | |
| install.packages("wordcloud") | |
| install.packages("XML") | |
| install.packages("RCurl") | |
| library(tm) | |
| setwd("C:/Users/yylee/Desktop/") |
| cask_args appdir: '/Applications' | |
| tap 'caskroom/cask' | |
| tap "homebrew/cask-fonts" | |
| tap 'caskroom/versions' | |
| tap "homebrew/bundle" | |
| tap "homebrew/core" | |
| tap "homebrew/services" | |
| tap "hsatac/toybox" | |
| brew "coreutils" | |
| brew "gnu-sed" |
Use a git hook to match a Jira issue ID from the current branch, and prepend it to every commit message
Assuming the current branch contains a Jira issue ID, you can use a git hook script to prepend it to every commit message.
Create an empty commit-msg git hook file, and make it executable. From your project's root directory:
install -b -m 755 /dev/null .git/hooks/commit-msg
Save the following script to the newly-created .git/hooks/commit-msg file:
Make sure everything is up to date in the App Store
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
| [ | |
| { | |
| "Name": "Ship Flink runtime to cluster", | |
| "Path": "s3://<your_bucket>/flink/ship_flink_runtime.sh" | |
| }, | |
| { | |
| "Name": "Ship application to cluster", | |
| "Path": "s3://<your_bucket>/flink/ship_app.sh" | |
| } | |
| ] |
It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.
| 本文約2014年前後在網路上流傳的，收集了百來篇關於機器學習和深度學習的資料，含各種文檔，視頻，源碼等。而且原文也會不定期的更新，望看到文章的朋友能夠學到更多。 | |
| 88d45181jw1f07djl14e0j20av064dgg.jpg | |
| Brief History of Machine Learning | |
| 介紹:這是一篇介紹機器學習歷史的文章，介紹很全面，從感知機、神經網路、決策樹、SVM、Adaboost 到隨機森林、DeepLearning. | |
| http://www.datascienceassn.org/sites/default/files/users/user1/DataScienceMozer2014.pdf | |
| Deep Learning in Neural Networks: AnOverview | |
| 介紹:這是瑞士人工智慧實驗室 JurgenSchmidhuber 寫的最新版本《神經網路與深度學習綜述》本綜述的特點是以時間排序，從 1940 年開始講起，到 60-80 年代，80-90 年代，一直講到 2000 年後及最近幾年的進展。涵蓋了 deep learning 裡各種 tricks，引用非常全面. |
