string(7723) "{"docs":[{"id":"158579","text":"\u3010Python\u3011Tkinter\u56fe\u5f62\u754c\u9762\u8bbe\u8ba1\uff08GUI\uff09","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n color: [\r\n ","username":"HGNET","tagsname":"","tagsid":"","catesname":"","catesid":"","createtime":"1641183196","_id":"158579"},{"id":"158620","text":"python\u4e4bgui-tkinter\u53ef\u89c6\u5316\u7f16\u8f91\u754c\u9762 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","username":"pywjh","tagsname":"","tagsid":"","catesname":"","catesid":"","createtime":"1641183158","_id":"158613"},{"id":"341361","text":"\u91cf\u5316\u5206\u6790\u83b7\u53d6\u6570\u636e\u76843\u79cd\u59ff\u52bf\uff08\u538b\u7bb1\u5e95\u7684\u795e\u5668Tushare\uff09","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n color: [\r\n ","username":"casual","tagsname":"","tagsid":"","catesname":"","catesid":"","createtime":"1641183069","_id":"341361"},{"id":"238879","text":"\u9762\u5411\u4ea4\u6613\u7684\u65e5\u5185\u9ad8\u9891\u91cf\u5316\u4ea4\u6613\u5e73\u53f0\u7b14\u8bb0","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n color: [\r\n ","username":"TaiYangXiManYouZhe","tagsname":"","tagsid":"","catesname":"","catesid":"","createtime":"1641183067","_id":"238879"},{"id":"238890","text":"2021 \u6700\u65b0\u91cf\u5316\u6295\u8d44\u4ea4\u6613\u8d44\u6e90\u6c47\u603b","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n color: [\r\n ","username":"xgqfrms","tagsname":"","tagsid":"","catesname":"","catesid":"","createtime":"1641183063","_id":"238890"}],"count":535118}" array(2) { ["docs"]=> array(10) { [0]=> array(10) { ["id"]=> string(6) "158579" ["text"]=> string(46) "【Python】Tkinter图形界面设计(GUI)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "HGNET" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183196" ["_id"]=> string(6) "158579" } [1]=> array(10) { ["id"]=> string(6) "158620" ["text"]=> string(60) "python之gui-tkinter可视化编辑界面 自动生成代码" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "darkspr" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183190" ["_id"]=> string(6) "158620" } [2]=> array(10) { ["id"]=> string(6) "158603" ["text"]=> string(66) "python3.6 +tkinter GUI编程 实现界面化的文本处理工具" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(10) "chenyuebai" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183187" ["_id"]=> string(6) "158603" } [3]=> array(10) { ["id"]=> string(5) "27850" ["text"]=> string(80) "Python GUI之tkinter窗口视窗教程大集合(看这篇就够了) - 洪卫" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "shwee" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183186" ["_id"]=> string(5) "27850" } [4]=> array(10) { ["id"]=> string(6) "158605" ["text"]=> string(45) "Python GUI编程(Tkinter) windows界面开发" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "itfat" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183184" ["_id"]=> string(6) "158605" } [5]=> array(10) { ["id"]=> string(5) "28228" ["text"]=> string(39) "tkinter python(图形开发界面)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "yudanqu" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183159" ["_id"]=> string(5) "28228" } [6]=> array(10) { ["id"]=> string(6) "158613" ["text"]=> string(34) "Tkinter图形界面设计(GUI)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "pywjh" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183158" ["_id"]=> string(6) "158613" } [7]=> array(10) { ["id"]=> string(6) "341361" ["text"]=> string(68) "量化分析获取数据的3种姿势(压箱底的神器Tushare)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(6) "casual" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183069" ["_id"]=> string(6) "341361" } [8]=> array(10) { ["id"]=> string(6) "238879" ["text"]=> string(51) "面向交易的日内高频量化交易平台笔记" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(18) "TaiYangXiManYouZhe" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183067" ["_id"]=> string(6) "238879" } [9]=> array(10) { ["id"]=> string(6) "238890" ["text"]=> string(41) "2021 最新量化投资交易资源汇总" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "xgqfrms" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183063" ["_id"]=> string(6) "238890" } } ["count"]=> int(535118) } 【整理】一些有用的学习资源链接 - 爱码网
tangdiao

1.NeurIPS2020 | Google《图学习与挖掘》综述教程,311页ppt+教程

  总:https://mp.weixin.qq.com/s/Jj7qwJysbO_B1zo2uTidrg
  分1:https://gm-neurips-2020.github.io/
  分2:PPT下载链接: https://gm-neurips-2020.github.io/master-deck.pdf(已下载:D:\Postgraduate file\_%literature\book\computer\GNN)
2.数学推导+纯Python实现机器学习算法30:系列总结与感悟
  总:https://mp.weixin.qq.com/s/jJd8Gg61eaE0JKZqQSeE8g
  分1:https://mp.weixin.qq.com/s/E9lMqNM8uNc57KNvnsBZGQ
  分2-n:
3.深度学习第60讲:深度学习笔记系列总结与感悟
  总:https://mp.weixin.qq.com/s/qXfu-UzZmlv-aQt3IIUnAQ
  分1题目:深度学习笔记1:利用numpy从零搭建一个神经网络
  分1网址:https://mp.weixin.qq.com/s/3wC5RQ8TXmkZNaJ3CM74zA
4.深度学习语义分割理论与实战指南
  https://github.com/luwill/Semantic-Segmentation-Guide/
5.PyTorch常用代码段合集
  https://mp.weixin.qq.com/s/zsmGvYG3GngnWNfe-dlGog
6.使用PyTorch Lightning自动训练你的深度神经网络
  https://mp.weixin.qq.com/s/oUhA3NKMu0I6h1m-mP2Rsg
7.9个让PyTorch模型训练提速的技巧!
  https://mp.weixin.qq.com/s/0SqePSwj2FKUUgPAansq1Q
8.【深度学习】神经网络的Python代码实现
  https://mp.weixin.qq.com/s/cpYX7JyTnlQrcR-8jFL6_Q
9.【Python基础】Python的深浅拷贝讲解
  https://mp.weixin.qq.com/s/kCuqepSyy_FlJ-UXNMSO4g
10.强化学习(问题集)
  https://blog.csdn.net/weixin_44356285/article/details/87449781
11.手把手教你Python爬取套图
  https://mp.weixin.qq.com/s/Z2anNiHYXsPcCKTkNCO8cQ
12.Python所有的内置函数 , 都帮你整理好了!
  https://mp.weixin.qq.com/s/XVzTelkth9VYdsh1KiKG6A
13.利用Python爬虫获取电影天堂视频下载链接
  https://mp.weixin.qq.com/s/tkdfSToBRwB0OPB3nEDDZQ
14.深度学习“赋能”光子结构设计
  https://mp.weixin.qq.com/s/DRjwlyaPD0fB4YASo6b89A
15.Numpy练习题-锻炼手写机器学习模型的能力
  总:https://mp.weixin.qq.com/s/yfq9MWfpajJzhGh9WaQpzg
  分1:https://github.com/fengdu78/Data-Science-Notes/tree/master/2.numpy/numpy_exercises
16.简约而不简单|值得收藏的Numpy小抄表(含主要语法、代码)
  https://mp.weixin.qq.com/s/3e8iUReZv9lnamCFi9hf4g
17.Numpy练习题100题-提高你的数据分析技能
  https://mp.weixin.qq.com/s/8hgfWGYbi5d9574WFkrMXg
18.AI基础:Numpy简易入门
  https://mp.weixin.qq.com/s/66SLsOBhUMP7qEuPE-BUnw
19.33万字!深度学习笔记在线版发布!
  总1:https://mp.weixin.qq.com/s/hxHqHnGykjbyZk25GxZ8cA
  分1:https://github.com/fengdu78/deeplearning_ai_books
20.最新PPT科研绘图教程库
  https://mp.weixin.qq.com/s/JIjneaIdw6XYIoClbXSG9Q
21.太赞了!100个案例,Matplotlib 从入门到大神!(附源代码)
  https://mp.weixin.qq.com/s/EF0BvcPiezwr7MBkByAScQ
22.Tensorflow实现的深度NLP模型集锦
  https://mp.weixin.qq.com/s/q6XgKgwn612yDY41yb_wWA
23.机器学习策略——吴恩达DeepLearning.ai深度学习笔记之结构化机器学习项目
  https://mp.weixin.qq.com/s/jKh82C2FZvEzgMKLvtVMog
24.卷积神经网络——吴恩达DeepLearning.ai深度学习笔记之卷积神经网络(一)
  https://mp.weixin.qq.com/s/G8LFz7-xPd1nzPZuyiR5Og
25.优化算法——吴恩达DeepLearning.ai深度学习笔记之改善神经网络(二)
  https://mp.weixin.qq.com/s/h0tG0qVN9eJbFiWXMK5Xsg
26.浅层神经网络——吴恩达DeepLearning.ai深度学习笔记之神经网络和深度学习(三)
  https://mp.weixin.qq.com/s/_qAM-RmHEOe9MDmNsj2okw
27.深层神经网络——吴恩达DeepLearning.ai深度学习笔记之神经网络和深度学习(四)
  https://mp.weixin.qq.com/s/hDDsO1qraRL5QWjS8IoI0Q
29.深度学习的实用层面——吴恩达DeepLearning.ai深度学习笔记之改善神经网络(一)
  https://mp.weixin.qq.com/s/pBzdbks6hda6iM2WvOj8YA
30.GNN教程:图神经网络基础知识!
  https://mp.weixin.qq.com/s/vnY6f_AbEeJl_a8IMmB3-A
31.神经网络中的蒸馏技术,从Softmax开始说起
  https://mp.weixin.qq.com/s/rKFYbnpQOcuc0cdeaowWPw
32.GNN教程:图神经网络基础知识!
  https://mp.weixin.qq.com/s/cPnCX5eYoBTcNzM073Dg_w
33.Nature | 综述:可编程光子集成电路(Programmable photonic circuits)
  https://mp.weixin.qq.com/s/CmfR7xTWaa3iEDBlDrMfmA
34.Linux系统常用命令速查手册
  https://mp.weixin.qq.com/s/rUbtpI15X4KiBPTxmX7h7Q
35.专利检索网址
  http://www.cnipa.gov.cn/zwfwpt/index.htm

    https://worldwide.espacenet.com/patent/
36.10个省时间的 PyCharm 技巧
  https://mp.weixin.qq.com/s/d7KIXth1tYTa0wcP4hIraw
37.【小白学PyTorch】扩展之Tensorflow2.0 | 21 Keras的API详解(下)池化、Normalization
  https://mp.weixin.qq.com/s/xfhkRDAQZgXgbX91DFrh6A
38.【Python基础】Python正则表达式,从入门到实战,精华都在这里!
  https://mp.weixin.qq.com/s/nx0ZjK9HF30RovLIFdsxmw
39.【机器学习基础】获取机器学习和深度学习的练习数据
  https://mp.weixin.qq.com/s/z8ec4kUJroDZ7LY6vWqq1w
40.【Python基础】使用Matplotlib可视化数据的5个强大技巧
  https://mp.weixin.qq.com/s/hCZ2Pd0s_tsjSEizIRBWRQ
41.干货:运维人员常用 Linux 命令汇总
  https://mp.weixin.qq.com/s/WynOhahGzcYjykKjoFFwtw
42.最全3000个常见公共场所英语标示!(国家英文译写规范)
  https://mp.weixin.qq.com/s/-AgILWN7srrafamqLkilyA
43.2021年国家自然科学基金申请书写作攻略
  https://mp.weixin.qq.com/s/-iB-NHwHgwJIzxwsoUw18A
44.50种Matplotlib科研论文绘图合集(附代码)
  https://mp.weixin.qq.com/s/s-3r5SJpvzrD2R0VtFWCSg
45.40000字 Matplotlib 实操干货,真的全!
  https://mp.weixin.qq.com/s/8dhulZkf-PXay9-PlbmrWg
46.梯度下降的可视化解释(Adam,AdaGrad,Momentum,RMSProp)
  https://mp.weixin.qq.com/s/gnYEchH2cGDJI7QE62OUPw
47.魔音Morin主页
  http://www.huanghunxiao.com/
48.全了!从Python入门到入魔
  https://mp.weixin.qq.com/s/0870rAi-RdUsJxmOA81PTw
49.结构光视觉传感器的标定方式和测量原理
  https://mp.weixin.qq.com/s/eVEgSoa-_lf9PFkP-l9dEw
50.实战|Python轻松实现动态网页爬虫(附详细源码)
  https://mp.weixin.qq.com/s/osrBhTlYLUVO7rygtyKp5Q
51.2020年度最佳的23个的机器学习项目(附源代码)!!!!!!!!!!!!!!!
  https://mp.weixin.qq.com/s/Hm7i9cZeo_F5RjjxchXKGg
52.《 AI 算法从入门到精通教程》
  http://www.huaxiaozhuan.com/
53.深度强化学习从基础到前沿
  https://mp.weixin.qq.com/mp/appmsgalbum?action=getalbum&__biz=Mzg5NzExODk0MQ==&scene=1&album_id=1326288117963374594#wechat_redirect
54.Python数据可视化教程之基础篇
  https://mp.weixin.qq.com/s/eubVJRftdwL3-Ei03wnaBA
55.Python大神用的贼溜,9 个实用技巧分享给你
  https://mp.weixin.qq.com/s/Eemr1zBOyPjmQdju_7SK9A
56.完全解析RNN, Seq2Seq, Attention注意力机制
  https://mp.weixin.qq.com/s/O6xn4EHI2eiASLuoQnML8g
57.Linux 命令行大全
  英文原版:http://linuxcommand.org/tlcl.php
  中文翻译:https://www.kancloud.cn/thinkphp/linux-command-line/39431
  PDF链接: https://pan.baidu.com/s/1hh-6s_uCWb2lgz7TZyEs7Q  提取码: 7z2h
58.多图+代码 | 详解Python操作Excel神器openpyxl的各种操作!
  https://mp.weixin.qq.com/s/jXheHy962x3us-ktwGVVEg
59.付费?是不可能的!20行Python代码实现一款永久免费PDF编辑工具
  https://mp.weixin.qq.com/s/nxB7cmThuuGsF7Y4Rn0aOw
60MATLAB如何提取曲线原始数据
  https://zhuanlan.zhihu.com/p/68492871?utm_source=wechat_session&utm_medium=social&utm_oi=930918355875995648&utm_campaign=shareopn
61.如何画出漂亮的神经网络图?
  https://zhuanlan.zhihu.com/p/148896017?utm_source=wechat_session&utm_medium=social&utm_oi=930918355875995648&utm_campaign=shareopn
62.PPT科研绘图 | 大神带你绘制光路原理图
  https://mp.weixin.qq.com/s/txb4Qe5zhv0JsrYW1ibMYQ
63.光子计算领域双雄出现!一篇顶刊论文,两位麻省理工学院天才的故事
  https://mp.weixin.qq.com/s/YC6dHLaedrin7ktKrOItFA
64.论文查重工具
  论文查重工具,链接:https://pan.baidu.com/s/1AWgE5xuhYBUFWLd6-4eKrw 提取码:9999
65. 阅读英文文献的诀窍,就在这里!
  https://mp.weixin.qq.com/s/X1N8DcNsYdMpUrmO9NOigg
66.一文看尽各种 NLP 任务
  https://mp.weixin.qq.com/s/J9SyT6EL89MzubSFTw7c4Q
67.科研新手如何写综述?
  https://mp.weixin.qq.com/s/pCBUvfhczlYjdRrZnKr8Bg
68.Pandas、NumPy、Matplotlib系列
  https://mp.weixin.qq.com/s/WvgOlFGK0FToobl9ws2oSQ
69.免费:13大秒杀谷歌翻译的SCI写作神器+200节视频课程(含SCI万能模板+查重+润色+投稿)
  https://mp.weixin.qq.com/s/_TXvfoVeqbevDfnkWHttxA
70.论文查重降重软件(永久免费)速速领取!
  https://mp.weixin.qq.com/s/ST7dxMddtsnBQf9NeZJyCg
71.虫部落·快搜
  https://search.chongbuluo.com
72.最新的SCI写作、翻译、绘图、投稿、录稿全套资源,158G快领走!
  https://mp.weixin.qq.com/s/VWfcplCjgg-K8-gPEC1-Sg
73.PDF工具
  https://wee.lanzoui.com/iyN5og7qqni
74.研究生第一篇科研论文常犯问题总结
  https://mp.weixin.qq.com/s/smY_sTDw-cSDDQJ3VHLjjQ
75.49个Python学习资源:从初学者到高级玩家都有了
  https://mp.weixin.qq.com/s/UN6uq1NIvMeGD4Ine7sp5A
76.李宏毅强化学习完整笔记!开源项目《LeeDeepRL-Notes》发布
  https://mp.weixin.qq.com/s/etn3XF67PYQqfEO0IDeJ3Q
77.如何 Import 自定义的 Python 模块?
  https://mp.weixin.qq.com/s/KXw2qhMXRpsPZPa4HWyXUg
78.有用的强化学习链接
  https://www.ilovematlab.cn/thread-468625-1-1.html
  https://ww2.mathworks.cn/help/reinforcement-learning/ug/water-tank-reinforcement-learning-environment-model.html
  https://ww2.mathworks.cn/help/reinforcement-learning/ref/rl.util.rlnumericspec.html
  https://zhidao.baidu.com/question/445088701.html
  https://blog.csdn.net/u013288925/article/details/107470450
  DDPG智能体:https://ww2.mathworks.cn/help/reinforcement-learning/ug/train-ddpg-agent-to-swing-up-and-balance-cart-pole-system.html?s_tid=srchtitle
  https://github.com/stanfordnqp/spins-b
  http://techfinder.stanford.edu/technologies/S18-012_inverse-design-software-for
79.硅光基础(2)—二维光波导近似数值求解
  https://zhuanlan.zhihu.com/p/140080481
80. 强化学习原理
  https://www.zhihu.com/topic/20039099/hot
  https://github.com/PaddlePaddle/PARL/blob/develop/papers/NeurIPS_2020.md
  https://zhuanlan.zhihu.com/p/25498081
  https://blog.csdn.net/qq_16234613/article/details/80268564?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control&depth_1-  utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control
  https://www.cnblogs.com/pinard/category/1254674.html
  https://www.cnblogs.com/pinard/p/10345762.html
  https://www.zhihu.com/question/41775291/answer/93276779
81.python调用MATLAB
  pycharm(亲测好用):https://zhuanlan.zhihu.com/p/67127872
  python(环境已配置好,没有测试):https://blog.csdn.net/lanluyug/article/details/84100233
82.十一在家都逛哪些技术网站?(程序员必备58个网站汇总)
  https://mp.weixin.qq.com/s/dqyA8KKiGGwX6zOX-h8J2w
83.《PyCharm 中文指南》 PDF、《Python 黑魔法指南》 PDF
  https://github.com/iswbm
84.收藏 | 49 个 Python 学习资源
  https://mp.weixin.qq.com/s/lgt1cHb9PI1ltXQ48yY8Mw
85.肝!精心整理了 50 个数据源网站!
  https://mp.weixin.qq.com/s/y8B0UUpCDZ-gNLnE5WrUUg
86.Tensorflow官方视频课程-深度学习工具 TensorFlow入门
  https://mp.weixin.qq.com/s/-GPfIN-8l1y1IlWfbDykxw
  https://cn.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
87.从入门到精通-Tensorflow深度强化学习课程
  https://mp.weixin.qq.com/s/cMd3y_lIjh4HYxJy6ihmgA
  课程主页:https://simoninithomas.github.io/Deep_reinforcement_learning_Course/
  课程配套代码地址:https://github.com/simoninithomas/Deep_reinforcement_learning_Course
88.解决关于pycharm启动时持续Updating Indices的问题
  https://blog.csdn.net/san__qi/article/details/105221353?utm_medium=distribute.pc_relevant.none-task-blog-title-3&spm=1001.2101.3001.4242
89.TensorFlow教程:TensorFlow快速入门教程(非常详细)
  http://c.biancheng.net/tensorflow/

90.CUDA Toolkit Archive

   https://developer.nvidia.com/zh-cn/cuda-downloads

91.2020年最新深度学习模型、策略整理及实现汇总分享

  https://mp.weixin.qq.com/s/_NED_fOenIvgUdkYXyvT7w

   https://github.com/rasbt/deeplearning-models

  带链接版资源下载地址:链接: https://pan.baidu.com/s/1jsqqTPtA33UfEPUIJ0qCmg    提取码: 97nm

92.陈蕴侬-《应用深度学习2020》中文视频课程及ppt下载地址:

  2020年视频下载地址:https://www.bilibili.com/video/av94312311/
                                youtube备用地址:https://www.youtube.com/channel/UCyB2RBqKbxDPGCs1PokeUiA
      2019年视频地址:https://www.bilibili.com/video/BV1rb411n7wX
      ppt及参考资料获取地址:https://www.csie.ntu.edu.tw/~miulab/s108-adl/syllabus

93.Tensorflow官方视频课程-深度学习工具 TensorFlow入门

  https://mp.weixin.qq.com/s/-GPfIN-8l1y1IlWfbDykxw

  https://cn.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

94.【机器学习基础】机器学习中“距离与相似度”计算汇总

  https://mp.weixin.qq.com/s/_s7sOlWeLpHPxbqQk-EFeg

95.归一化 Normalization 的发展历程

  https://mp.weixin.qq.com/s/KWTWYPFoZERSBm2rMRKUGw

96.来自本科生的暴击:清华开源「天授」强化学习平台,纯PyTorch实现

  https://mp.weixin.qq.com/s/OKY8BSYB2cQMFnrJ59Ys_g

  https://github.com/thu-ml/tianshou

97.《30天吃掉那只 TensorFlow2.0 》全新TF2.0教程收获1000 Star

  https://mp.weixin.qq.com/s/MsRt5hKa9ozx4PcyuQpfyg

  gitbook电子书地址:https://lyhue1991.github.io/eat_tensorflow2_in_30_days

   github项目地址:https://github.com/lyhue1991/eat_tensorflow2_in_30_days

  《20天吃掉那只Pytorch》 github项目地址: https://github.com/lyhue1991/eat_pytorch_in_20_days

98.5个热门的深度学习框架

  https://mp.weixin.qq.com/s/lLASFdhAaxjJGgyHl1Qrrw

  使用TensorFlow实施神经网络的简介:https://www.analyticsvidhya.com/blog/2016/10/an-introduction-to-implementing-neural-networks-using-tensorflow

  TensorFlow教程:https://www.tensorflow.org/tutorials

  使用Keras优化神经网络:https://www.analyticsvidhya.com/blog/2016/10/tutorial-optimizing-neural-networks-using-keras-with-image-recognition-case-study/

  PyTorch教程:https://PyTorch.org/tutorials/beginner/deep_learning_60min_blitz.html

  了解如何使用PyTorch构建快速而准确的神经网络– 4个很棒的案例研究:https://www.analyticsvidhya.com/blog/2019/01/guide-PyTorch-neural-networks-case-studies

  Caffe安装:http://Caffe.berkeleyvision.org/installation.html

  Caffe文档:http://Caffe.berkeleyvision.org/

99.【收藏】用 Pytorch 理解卷积网络

  https://mp.weixin.qq.com/s/DcO0-tbD44U8ZpsFgDjVug

100.PyTorch专栏(二十三): 强化学习(DQN)教程

  https://mp.weixin.qq.com/s/qwvdTMcI4Tj0WEGvWsIUng

101.PyTorch 60 分钟入门教程:数据并行处理

  https://mp.weixin.qq.com/s/TN2sfx-lymdUzGhu2uz1BA

102.Pytorch入门演练

  https://mp.weixin.qq.com/s/k_HxXx6GOqFj2R4XMlNdww

103.PyTorch Lightning:专门为机器学习研究者开发的PyTorch轻量 wrapper

  https://mp.weixin.qq.com/s/EzS8IGvLH9ngZHVxCCIJyA

104.PyTorch分布式训练简明教程

  https://mp.weixin.qq.com/s/66avRoy-IFtcq62pCPt1ug

105.超赞的PyTorch资源大列表,GitHub标星9k+,中文版也上线了【文末开奖】

  https://mp.weixin.qq.com/s/fP3fmD9kYhPxonen3HTpWw

106.PyTorch中文版官方教程来啦(附下载)

  https://mp.weixin.qq.com/s/ajcU_LwiXVAT2ZDDmk9CYQ

107.一篇长文学懂 pytorch

  https://mp.weixin.qq.com/s/VWHtiPcvxR0-QlqsS_TwWw

108.轻松学Pytorch–环境搭建与基本语法

  https://mp.weixin.qq.com/s/oHXezjFHhbXQbFUN0r593w

109.推荐给大家!Pytorch编写代码基本步骤思想

  https://mp.weixin.qq.com/s/6KkRMw-1HXTkpiJiVOxq-g

110.深度学习之Pytorch基础教程!

  https://mp.weixin.qq.com/s/4MU9yHkKBZ0WAp7PoYOG8w

111.重磅!TensorFlow2.0版《动手学深度学习》开源

  https://mp.weixin.qq.com/s/gvWMpiznp1OYeV9EniY_Gg

  官网:http://zh.d2l.ai/index.html

  教程:https://courses.d2l.ai/berkeley-stat-157/index.html

  github:https://github.com/d2l-ai/d2l-zh

  中文视频:https://space.bilibili.com/209599371

112.TensorFlow2.0 代码实战专栏(四):Word2Vec (Word Embedding)

  https://mp.weixin.qq.com/s/lR4qj21YmoJglCKXtrAHRw

113.一文上手Tensorflow2.0之tf.keras|三

  https://mp.weixin.qq.com/s/D3G9Ph1QqtvlYKCR-naCGw

114.TensorFlow2.0 代码实战专栏(七):循环神经网络示例

  https://mp.weixin.qq.com/s/ZnuPVhlP4kgSomNyJdUkEw

115.超详细整理!Pandas实用手册(PART I)

  https://mp.weixin.qq.com/s/DGkmkn7Juw_u7qG9UsQjdQ

116.Transformer 竞技台 | 六大任务、一网打尽

  https://mp.weixin.qq.com/s/dFZTVaHsu4SrOdW-EWLuQQ

 

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