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index.xml
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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>冷眼-风雨飘摇</title>
<link>https://cold-eye.github.io/</link>
<description>Recent content on 冷眼-风雨飘摇</description>
<generator>Hugo -- gohugo.io</generator>
<language>zh-CN</language>
<lastBuildDate>Sun, 03 Jan 2021 11:48:30 +0800</lastBuildDate>
<atom:link href="https://cold-eye.github.io/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>youtube-dl</title>
<link>https://cold-eye.github.io/post/youtube-dl/</link>
<pubDate>Sun, 03 Jan 2021 11:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/youtube-dl/</guid>
<description>youtube-dl</description>
</item>
<item>
<title>【转】保姆级教程：个人深度学习工作站配置指南</title>
<link>https://cold-eye.github.io/post/personal-deeplearning-workstation/</link>
<pubDate>Wed, 16 Dec 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/personal-deeplearning-workstation/</guid>
<description>保姆级教程：个人深度学习工作站配置指南</description>
</item>
<item>
<title>python读GB级大文件</title>
<link>https://cold-eye.github.io/post/python-open-big-file/</link>
<pubDate>Wed, 09 Dec 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-open-big-file/</guid>
<description>python读GB级大文件。</description>
</item>
<item>
<title>信息抽取竞赛方案</title>
<link>https://cold-eye.github.io/post/nlp-information-extraction-competiton/</link>
<pubDate>Sun, 06 Dec 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/nlp-information-extraction-competiton/</guid>
<description>信息抽取竞赛方案。</description>
</item>
<item>
<title>对比 bert、albert、textcnn 在cpu、gpu 环境下，文本分类耗时</title>
<link>https://cold-eye.github.io/post/nlp-bert-albert-textcnn/</link>
<pubDate>Tue, 01 Dec 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/nlp-bert-albert-textcnn/</guid>
<description>对比 bert、albert、textcnn 在cpu、gpu 环境下，文本分类耗时。</description>
</item>
<item>
<title>How to create buttons in Jupyter</title>
<link>https://cold-eye.github.io/post/python-jupyter-button/</link>
<pubDate>Thu, 26 Nov 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-jupyter-button/</guid>
<description>How to create buttons in Jupyter</description>
</item>
<item>
<title>linux 查找文件</title>
<link>https://cold-eye.github.io/post/linux-find-files/</link>
<pubDate>Thu, 26 Nov 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/linux-find-files/</guid>
<description>linux 一行命令查找文件</description>
</item>
<item>
<title>python生成uuid的方法</title>
<link>https://cold-eye.github.io/post/python-uuid/</link>
<pubDate>Mon, 23 Nov 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-uuid/</guid>
<description>python生成uuid的方法。</description>
</item>
<item>
<title>Python中神奇的第三方库：Faker</title>
<link>https://cold-eye.github.io/post/python-faker/</link>
<pubDate>Sun, 22 Nov 2020 15:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-faker/</guid>
<description>开发项目的时，为了测试常需要造假数据，经常要尽量的模拟真实环境，通常要费大量手工而且造出来的数据，而且通常手工造出来的看起来也很别扭，费时又费事，有没有更好的办法？有，这里给大家介绍一个“专业造数“库Faker，满足你对模拟数据的所有需求。</description>
</item>
<item>
<title>How to Run Streamlit Apps From Colab</title>
<link>https://cold-eye.github.io/post/python-streamlit-colab/</link>
<pubDate>Fri, 20 Nov 2020 15:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-streamlit-colab/</guid>
<description>How to Run Streamlit Apps From Colab</description>
</item>
<item>
<title>python os.environ 环境变量</title>
<link>https://cold-eye.github.io/post/python-os-environ/</link>
<pubDate>Thu, 19 Nov 2020 15:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-os-environ/</guid>
<description>python os.environ 环境变量。</description>
</item>
<item>
<title>数据增强在文本分类中的应用</title>
<link>https://cold-eye.github.io/post/nlp-classifier-enhence/</link>
<pubDate>Thu, 19 Nov 2020 10:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/nlp-classifier-enhence/</guid>
<description>数据增强在文本分类中的应用。</description>
</item>
<item>
<title>白嫖：只需一点点代码，即可实现微信给自己发提醒消息</title>
<link>https://cold-eye.github.io/post/python-wechat-reminder/</link>
<pubDate>Wed, 18 Nov 2020 15:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-wechat-reminder/</guid>
<description>白嫖：只需一点点代码，即可实现微信给自己发提醒消息。</description>
</item>
<item>
<title>pandas 读写sql</title>
<link>https://cold-eye.github.io/post/python-pandas-sql/</link>
<pubDate>Mon, 09 Nov 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-pandas-sql/</guid>
<description>pandas 读写sql。</description>
</item>
<item>
<title>pandas 读写excel的每个sheet</title>
<link>https://cold-eye.github.io/post/python-pandas-excel-sheet/</link>
<pubDate>Mon, 02 Nov 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-pandas-excel-sheet/</guid>
<description>pandas 读写excel的每个sheet。</description>
</item>
<item>
<title>StreamLit coding</title>
<link>https://cold-eye.github.io/post/python-streamlit-coding/</link>
<pubDate>Sun, 01 Nov 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-streamlit-coding/</guid>
<description><code>python</code> <code>streamlit</code>。</description>
</item>
<item>
<title>ngrok 内网穿透，streamlit 建立外网服务</title>
<link>https://cold-eye.github.io/post/python-streamlit-ngrok/</link>
<pubDate>Thu, 29 Oct 2020 14:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-streamlit-ngrok/</guid>
<description>ngrok 内网穿透，streamlit 建立外网服务。</description>
</item>
<item>
<title>python pandas 大文件读写</title>
<link>https://cold-eye.github.io/post/python-pandas-big-file/</link>
<pubDate>Thu, 29 Oct 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-pandas-big-file/</guid>
<description>大文件读写。</description>
</item>
<item>
<title>不错的网站</title>
<link>https://cold-eye.github.io/post/useful-web/</link>
<pubDate>Thu, 15 Oct 2020 18:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/useful-web/</guid>
<description>不错的网站</description>
</item>
<item>
<title>效率倍增！5款超级好用的Python工具库！</title>
<link>https://cold-eye.github.io/post/python-five-tools/</link>
<pubDate>Sat, 10 Oct 2020 18:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-five-tools/</guid>
<description>效率倍增！5款超级好用的Python工具库！</description>
</item>
<item>
<title>Hawk: 爬虫工具</title>
<link>https://cold-eye.github.io/post/hawk/</link>
<pubDate>Sat, 10 Oct 2020 10:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/hawk/</guid>
<description>Hawk 爬虫工具。</description>
</item>
<item>
<title>Image Downloader: 图片下载</title>
<link>https://cold-eye.github.io/post/python-image-download/</link>
<pubDate>Fri, 09 Oct 2020 10:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-image-download/</guid>
<description>Image Downloader 图片下载。</description>
</item>
<item>
<title>annie: 视频下载</title>
<link>https://cold-eye.github.io/post/annie/</link>
<pubDate>Fri, 09 Oct 2020 09:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/annie/</guid>
<description>annie 视频下载。</description>
</item>
<item>
<title>Streamlit: 情感分析web应用</title>
<link>https://cold-eye.github.io/post/python-streamlit-nlp/</link>
<pubDate>Thu, 08 Oct 2020 15:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-streamlit-nlp/</guid>
<description><code>python</code> <code>streamlit</code> <code>情感分析</code>。</description>
</item>
<item>
<title>Streamlit: 交互式数据分析产品及 heroku 免费部署</title>
<link>https://cold-eye.github.io/post/python-streamlit-heroku/</link>
<pubDate>Thu, 08 Oct 2020 14:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-streamlit-heroku/</guid>
<description><code>python</code> <code>streamlit</code> <code>heroku</code>。</description>
</item>
<item>
<title>python streamlit</title>
<link>https://cold-eye.github.io/post/python-streamlit/</link>
<pubDate>Thu, 08 Oct 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-streamlit/</guid>
<description><code>python</code> <code>streamlit</code>。</description>
</item>
<item>
<title>python图形界面库，写桌面程序</title>
<link>https://cold-eye.github.io/post/python-gui/</link>
<pubDate>Wed, 23 Sep 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-gui/</guid>
<description><code>python</code> 写桌面程序。</description>
</item>
<item>
<title>打破 BERT 天花板：11种花式炼丹术刷爆NLP分类SOTA！</title>
<link>https://cold-eye.github.io/post/nlp-classifier-sota/</link>
<pubDate>Tue, 22 Sep 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/nlp-classifier-sota/</guid>
<description>利用机器学习思想，更好地去解决NLP分类任务中的低耗时、小样本、鲁棒性、不平衡、测试检验、增量学习、长文本等问题。</description>
</item>
<item>
<title>NLP中的少样本困境问题探究</title>
<link>https://cold-eye.github.io/post/nlp-less-sample/</link>
<pubDate>Mon, 21 Sep 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/nlp-less-sample/</guid>
<description>在医疗、金融、法律等领域，高质量的标注数据十分稀缺、昂贵，我们通常面临少样本低资源问题。本文从「文本增强」和「半监督学习」这两个角度出发，谈一谈如何解决少样本困境。</description>
</item>
<item>
<title>数据挖掘5：互联网常见特殊词汇的商机</title>
<link>https://cold-eye.github.io/post/data-mining-5/</link>
<pubDate>Sun, 20 Sep 2020 15:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/data-mining-5/</guid>
<description>项目挖掘</description>
</item>
<item>
<title>数据挖掘4：从付费行为里找项目</title>
<link>https://cold-eye.github.io/post/data-mining-4/</link>
<pubDate>Sun, 20 Sep 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/data-mining-4/</guid>
<description>项目挖掘</description>
</item>
<item>
<title>数据挖掘3：实操</title>
<link>https://cold-eye.github.io/post/data-mining-3/</link>
<pubDate>Sat, 19 Sep 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/data-mining-3/</guid>
<description>项目挖掘</description>
</item>
<item>
<title>数据挖掘2：具体项目</title>
<link>https://cold-eye.github.io/post/data-mining-2/</link>
<pubDate>Thu, 17 Sep 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/data-mining-2/</guid>
<description>项目挖掘</description>
</item>
<item>
<title>数据挖掘1：百万级的数据里找项目</title>
<link>https://cold-eye.github.io/post/data-mining-1/</link>
<pubDate>Tue, 15 Sep 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/data-mining-1/</guid>
<description>项目挖掘</description>
</item>
<item>
<title>通过 server 酱实现定时推送信息</title>
<link>https://cold-eye.github.io/post/server-jiang/</link>
<pubDate>Thu, 10 Sep 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/server-jiang/</guid>
<description>通过第三方工具给自己的微信发消息。</description>
</item>
<item>
<title>Python 数据结构之链表</title>
<link>https://cold-eye.github.io/post/python-data-structure-chain/</link>
<pubDate>Sun, 06 Sep 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-data-structure-chain/</guid>
<description><code>python</code>数据结构。</description>
</item>
<item>
<title>python 安装 postgre库</title>
<link>https://cold-eye.github.io/post/python-postgre/</link>
<pubDate>Sat, 05 Sep 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-postgre/</guid>
<description><code>linux</code> 下安装<code>python</code>的<code>postgre</code>库。</description>
</item>
<item>
<title>HanLP 词性标注列表</title>
<link>https://cold-eye.github.io/post/hanlp-tagging/</link>
<pubDate>Thu, 03 Sep 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/hanlp-tagging/</guid>
<description>hanlp 词性中英对照。</description>
</item>
<item>
<title>Python 创建只读字典</title>
<link>https://cold-eye.github.io/post/python-dict/</link>
<pubDate>Wed, 02 Sep 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-dict/</guid>
<description><em>python</em> 只读字典。</description>
</item>
<item>
<title>python ssh 上传下载文件</title>
<link>https://cold-eye.github.io/post/python-ssh/</link>
<pubDate>Mon, 31 Aug 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-ssh/</guid>
<description><em>python</em> 公、私钥连接 <em><strong>ssh</strong></em> 并实现文件的上传下载。</description>
</item>
<item>
<title>腾讯词向量制作同义词映射表、计算文本相似度</title>
<link>https://cold-eye.github.io/post/tencent-word2vec/</link>
<pubDate>Sun, 23 Aug 2020 15:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/tencent-word2vec/</guid>
<description>利用腾讯词向量，查找同义词，计算词语文本相似度。</description>
</item>
<item>
<title>dockerfile</title>
<link>https://cold-eye.github.io/post/dockerfile/</link>
<pubDate>Sat, 22 Aug 2020 15:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/dockerfile/</guid>
<description>使用 <strong>dockerfile</strong> 配置深度学习环境</description>
</item>
<item>
<title>python handcalcs Latex公式编辑</title>
<link>https://cold-eye.github.io/post/python-handcalcs/</link>
<pubDate>Wed, 19 Aug 2020 15:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-handcalcs/</guid>
<description>1行代码搞定Latex公式编写，这个4.6M的Python小插件，写论文神器。</description>
</item>
<item>
<title>微信小技巧--持续更新</title>
<link>https://cold-eye.github.io/post/wechat-sets/</link>
<pubDate>Tue, 18 Aug 2020 10:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/wechat-sets/</guid>
<description>99%的人都不知道的微信小秘密你知道几个？</description>
</item>
<item>
<title>python flask 前端接收参数</title>
<link>https://cold-eye.github.io/post/python-flask-web/</link>
<pubDate>Mon, 17 Aug 2020 10:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-flask-web/</guid>
<description>python 的 flask 制作简易前端传参及上传文件功能</description>
</item>
<item>
<title>第三方支付是否引发通货膨胀</title>
<link>https://cold-eye.github.io/post/third-party-payment-inflation/</link>
<pubDate>Wed, 12 Aug 2020 16:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/third-party-payment-inflation/</guid>
<description>我们先来了解下什么是通货膨胀 通货膨胀是造成一国货币贬值的物价上涨。造成通货膨胀的</description>
</item>
<item>
<title>python 一些好用的正则</title>
<link>https://cold-eye.github.io/post/useful-regex/</link>
<pubDate>Tue, 11 Aug 2020 16:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/useful-regex/</guid>
<description>python关于汉字、英文、数字、标点符号、手机号码、IP地址、email等的正则方法。</description>
</item>
<item>
<title>python es的一些简单操作</title>
<link>https://cold-eye.github.io/post/python-es/</link>
<pubDate>Mon, 10 Aug 2020 16:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-es/</guid>
<description>工作中偶尔要调用一下es，查点数据，这里记录一下简单的操作过程。</description>
</item>
<item>
<title>主动学习</title>
<link>https://cold-eye.github.io/post/active-learning/</link>
<pubDate>Sun, 09 Aug 2020 10:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/active-learning/</guid>
<description>转自：https://mp.weixin.qq.com/s/25wIFjksiB</description>
</item>
<item>
<title>网站文本复制禁用的一种破解方法</title>
<link>https://cold-eye.github.io/post/wenku-free/</link>
<pubDate>Sat, 08 Aug 2020 10:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/wenku-free/</guid>
<description>遇到文档只能看不能复制的网站，提供一种破解方法。</description>
</item>
<item>
<title>python flask 深度学习模型多端口服务</title>
<link>https://cold-eye.github.io/post/python-server-flask/</link>
<pubDate>Thu, 06 Aug 2020 14:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-server-flask/</guid>
<description>flash 开多个端口挂起人工智能模型服务的方法。</description>
</item>
<item>
<title>一些非常有用的网站API（持续更新...）</title>
<link>https://cold-eye.github.io/post/wonderful-api/</link>
<pubDate>Wed, 05 Aug 2020 15:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/wonderful-api/</guid>
<description>一些非常有用的网站API。</description>
</item>
<item>
<title>半监督学习Bootstrapping抽取知识图谱</title>
<link>https://cold-eye.github.io/post/kg-bootstrapping/</link>
<pubDate>Tue, 04 Aug 2020 18:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/kg-bootstrapping/</guid>
<description>鉴于监督学习的成本太大，用半监督学习做关系抽取是一个很值得研究的方向。</description>
</item>
<item>
<title>rust 与 python 由浅入深：摄氏温度转华氏温度</title>
<link>https://cold-eye.github.io/post/rust-easy-to-deep-1/</link>
<pubDate>Mon, 03 Aug 2020 17:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/rust-easy-to-deep-1/</guid>
<description>摄氏温度转华氏温度的rust和python实现。</description>
</item>
<item>
<title>python 文本词频统计</title>
<link>https://cold-eye.github.io/post/python-words-frequency/</link>
<pubDate>Mon, 03 Aug 2020 09:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-words-frequency/</guid>
<description>python词频统计的几种方法。</description>
</item>
<item>
<title>自然语言处理语料库（长期更新...）</title>
<link>https://cold-eye.github.io/post/nlp-corpus/</link>
<pubDate>Sun, 02 Aug 2020 15:00:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/nlp-corpus/</guid>
<description>三军未动粮草先行，语料就是人工智能的粮草。</description>
</item>
<item>
<title>hugo 博客编辑器</title>
<link>https://cold-eye.github.io/post/hugo-vscode/</link>
<pubDate>Sat, 01 Aug 2020 15:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/hugo-vscode/</guid>
<description>使用vscode编辑hugo博客，并预览效果。</description>
</item>
<item>
<title>程序员网站收藏</title>
<link>https://cold-eye.github.io/post/best-websites-a-programmer-should-visit/</link>
<pubDate>Sat, 01 Aug 2020 13:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/best-websites-a-programmer-should-visit/</guid>
<description>一些对程序员有用的网站。</description>
</item>
<item>
<title>linux 下用户安装 postgresql</title>
<link>https://cold-eye.github.io/post/linux-postgresql-install/</link>
<pubDate>Fri, 31 Jul 2020 15:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/linux-postgresql-install/</guid>
<description>记录linux环境下安装pg库(postgreSQL)，从选择版本到桌面连接成功的过程。</description>
</item>
<item>
<title>python 关键词快速匹配</title>
<link>https://cold-eye.github.io/post/python-ac-flashtext/</link>
<pubDate>Tue, 28 Jul 2020 13:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-ac-flashtext/</guid>
<description>有十亿个标题，存在一个文件中，一行一个标题。有5万个敏感词，存在另一个文件。写一个程序过滤掉所有标题中的所有敏感词，保存到另一个文件中。</description>
</item>
<item>
<title>提速 7 到 72 倍，在 Python 里面调用 Cython 和 Golang 函数</title>
<link>https://cold-eye.github.io/post/python-cython-golang/</link>
<pubDate>Mon, 27 Jul 2020 16:48:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/python-cython-golang/</guid>
<description>在涉及到大量 CPU 计算的时候，Python 的运行效率可能不如其他语言。</description>
</item>
<item>
<title>我的第一笔被动收入</title>
<link>https://cold-eye.github.io/post/my-first-passive-income/</link>
<pubDate>Mon, 20 Jul 2020 07:47:00 +0800</pubDate>
<guid>https://cold-eye.github.io/post/my-first-passive-income/</guid>
<description>小米共享wifi实现小额被动收入</description>
</item>
<item>
<title>博主</title>
<link>https://cold-eye.github.io/about/</link>
<pubDate>Sat, 18 Jul 2020 00:00:00 +0000</pubDate>
<guid>https://cold-eye.github.io/about/</guid>
<description>专注于IT互联网，包括但不限于机器学习、自然语言处理、kaggle竞赛等 本博客主</description>
</item>
<item>
<title>markdown 代码规范及制作表格</title>
<link>https://cold-eye.github.io/post/markdown-code-rule/</link>
<pubDate>Thu, 18 Jun 2020 09:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/markdown-code-rule/</guid>
<description>markdown制作表格，以及各种脚本、语言的代码书写规范及高亮。</description>
</item>
<item>
<title>mac中对应的一些windows系统中的按键</title>
<link>https://cold-eye.github.io/post/mac-windows/</link>
<pubDate>Mon, 01 Jun 2020 11:18:30 +0800</pubDate>
<guid>https://cold-eye.github.io/post/mac-windows/</guid>
<description>记录一些在工作过程中用到的，windows与mac的等价按键。</description>
</item>
<item>
<title>跑步健身</title>
<link>https://cold-eye.github.io/post/running-fitting/</link>
<pubDate>Mon, 05 Aug 2019 07:47:00 +0800</pubDate>
<guid>https://cold-eye.github.io/post/running-fitting/</guid>
<description>一、健身跑步多长时间合适 1.1 以强健身体为目的跑40分钟左右 与开始健身跑步的十多分钟</description>
</item>
<item>
<title>深度学习，制作类似cifar10图像数据集</title>
<link>https://cold-eye.github.io/post/cifar10/</link>
<pubDate>Fri, 19 Jan 2018 19:31:04 +0800</pubDate>
<guid>https://cold-eye.github.io/post/cifar10/</guid>
<description>在学习卷积神经网络的时候，遇到了cifar10图像数据集，用着挺好，但不想局限于固定的几种图像的识别，所以就有了自己制作数据集来识别的想法。</description>
</item>
<item>
<title>Hugo从零开始搭建个人博客系列（二）：第二篇博客该怎么生成--修改主题</title>
<link>https://cold-eye.github.io/post/second/</link>
<pubDate>Wed, 10 Jan 2018 07:47:00 +0800</pubDate>
<guid>https://cold-eye.github.io/post/second/</guid>
<description>修改主题的一些配置方法</description>
</item>
<item>
<title>Hugo从零开始搭建个人博客系列（一）：本篇是如何搭建的</title>
<link>https://cold-eye.github.io/post/first/</link>
<pubDate>Sat, 06 Jan 2018 19:56:19 +0800</pubDate>
<guid>https://cold-eye.github.io/post/first/</guid>
<description>第一次搭建自己的博客</description>
</item>
<item>
<title>归档</title>
<link>https://cold-eye.github.io/archives/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://cold-eye.github.io/archives/</guid>
<description></description>
</item>
<item>
<title>搜索</title>
<link>https://cold-eye.github.io/search/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>https://cold-eye.github.io/search/</guid>
<description></description>
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