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算法工程师面试问题及相关资料集锦 by Chengyang Li

专知出品
导读
Github作者lcylmhlcy发布了一份算法工程师面试问题及相关资料集锦，相当全面，值得收藏。学完这些，变身offer收割机。


作者 | lcylmhlcy
编辑 | Xiaowen



目录

算法工程师

Github、牛客网、知乎、个人博客、微信公众号、其他

机器学习

面试问题、资料、代码实战

深度学习

面试、资料、代码实战Pytorch、代码实战TensorFlow、网课

C/C++

Python

竞赛/比赛

简历模板

其他

Github传送门：
https://github.com/lcylmhlcy/Awesome-algorithm-interview


     算法工程师     


Github
  • 算法/深度学习/NLP面试笔记 Github 
    • https://github.com/imhuay/Algorithm_Interview_Notes-Chinese
  • 算法工程师面试 Github
    • https://github.com/PPshrimpGo/AIinterview
  • 2019届秋招面经集合 Github
    • https://github.com/zslomo/2019-Autumn-recruitment-experience
  • 技术面试必备基础知识 Github
    • https://github.com/CyC2018/CS-Notes
  • AI算法岗求职攻略 Github (amusi)
    • https://github.com/amusi/AI-Job-Notes
  • 阿里、腾讯、百度、华为、京东、搜狗和滴滴最新面试题汇集 Github
    • https://github.com/xiaole0310/interview-
  • 「面试算法练级攻略」-「LeetCode题解」-「剑指offer题解」 Github
    • https://github.com/guokaide/algorithm
  • MVision-awesome Github
    • https://github.com/Ewenwan/MVision
  • 2020年的算法实习岗位信息表，部分包括内推码，和常见深度学习算法岗面试题及答案，暑期计算机视觉实习面经和总结 Github
    • https://github.com/HarleysZhang/2019_algorithm_intern_information
  • Daily Interview Github
    • https://github.com/datawhalechina/Daily-interview
  • 2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总 Github
    • https://github.com/0voice/interview_internal_reference


牛客网
  • 旷视19届春招-算法研究员-凉经 nowcoder
    • https://www.nowcoder.com/discuss/167336
  • 腾讯算法实习面试总结 nowcoder
    • https://www.nowcoder.com/discuss/163996
  • 春招详细算法面经(旷视/海康/联影等8家公司Offer) nowcoder
    • https://www.nowcoder.com/discuss/163388
  • 普通的算法/机器学习面经 nowcoder
    • https://www.nowcoder.com/discuss/61907
  • 20届-视觉算法-暑期实习 nowcoder
    • https://www.nowcoder.com/discuss/173292
  • 字节跳动实习算法岗面经 nowcoder
    • https://www.nowcoder.com/discuss/174565
  • 阿里腾讯虎牙机器学习算法面经 nowcoder
    • https://www.nowcoder.com/discuss/175759
  • 字节跳动图形图像算法实习面经 nowcoder
    • https://www.nowcoder.com/discuss/178153
  • 拼多多算法实习生面经 nowcoder
    • https://www.nowcoder.com/discuss/177911
  • 算法岗面经传送门 nowcoder
    • https://www.nowcoder.com/discuss/180976
  • 面经（腾讯AI Lab，阿里达摩院，华为等公司大集合） nowcoder
    • https://www.nowcoder.com/discuss/180087
  • cv岗面经 nowcoder
    • https://www.nowcoder.com/discuss/159266
  • 小菜鸡的算法实习面经 nowcoder
    • https://www.nowcoder.com/discuss/181770
  • 机器学习/算法校招面试考点汇总 nowcoder
    • https://www.nowcoder.com/discuss/165930
  • 计算机视觉暑期实习面经 nowcoder
    • https://www.nowcoder.com/discuss/186000
  • 算法岗面经（阿里云,1,2,3，交叉，hr面） nowcoder
    • https://www.nowcoder.com/discuss/172079
  • 春招实习面经（cv算法岗） nowcoder
    • https://www.nowcoder.com/discuss/183555
  • 双非本硕算法陪跑面经 nowcoder
    • https://www.nowcoder.com/discuss/186247
  • 2018春招科大讯飞，华为，神策数据，今日头条面经 nowcoder
    • https://www.nowcoder.com/discuss/75136?type=2&order=3&pos=254&page=1
  • 2020届渣硕春招实习总结-算法岗（计算机视觉） nowcoder
    • https://www.nowcoder.com/discuss/186113
  • 爱奇艺深度学习算法实习生面经 nowcoder
    • https://www.nowcoder.com/discuss/185614
  • 阿里，旷视，亚马逊，谷歌面经 nowcoder
    • https://www.nowcoder.com/discuss/172693
  • 算法菜鸟的春招之路 nowcoder
    • https://www.nowcoder.com/discuss/188295
  • 机器学习算法面经（腾讯阿里网易） nowcoder
    • https://www.nowcoder.com/discuss/75166?type=2&order=3&pos=250&page=1
  • 实习算法岗血泪面经，商汤，旷世，阿里，字节跳动 nowcoder
    • https://www.nowcoder.com/discuss/192689?type=2
  • 机器学习/数据挖掘岗2019秋招总结 nowcoder
    • https://www.nowcoder.com/discuss/138721
  • 算法面经（阿里、腾讯、美团等） nowcoder
    • https://www.nowcoder.com/discuss/77924?type=2&order=3&pos=195&page=1
  • 春招秋招算法机器学习岗面经（阿里、腾讯、美团、携程） nowcoder
    • https://www.nowcoder.com/discuss/106725
  • 春招（附面经） nowcoder
    • https://www.nowcoder.com/discuss/79729
  • 计算机视觉算法岗面经 nowcoder
    • https://www.nowcoder.com/discuss/128148
  • 机器学习算法面经---2018秋招 nowcoder
    • https://www.nowcoder.com/discuss/32008
  • 阿里&腾讯春招算法面经 nowcoder
    • https://www.nowcoder.com/discuss/198290?type=2&order=3&pos=7&page=1
  • 阿里暑期实习六面面经 nowcoder
    • https://www.nowcoder.com/discuss/180007
  • 计算机视觉算法岗面经 nowcoder
    • https://www.nowcoder.com/discuss/128148
  • 阿里 达摩院 cv 算法 面经 nowcoder
    • https://www.nowcoder.com/discuss/216797
  • 算法工程师面经 寒拼蘑腾作网网3 附答案 nowcoder
    • https://www.nowcoder.com/discuss/231656
  • 搜狗算法面经 nowcoder
    • https://www.nowcoder.com/discuss/231973
  • 商汤20校招CV算法研究员面经(三面+HR面) nowcoder
    • https://www.nowcoder.com/discuss/209857
  • 作业帮/寒武纪/商汤/科大讯飞面经 nowcoder
    • https://www.nowcoder.com/discuss/218906
  • 面经 | 腾讯/百度/字节跳动/拼多多/华为/美团/寒武纪/虎牙等 nowcoder
    • https://www.nowcoder.com/discuss/241988
  • 算法秋招上岸了，大家加油，我先撤了（附所有面经） nowcoder
    • https://www.nowcoder.com/discuss/244979

知乎
  • 算法工程师必须要知道的面试技能雷达图 zhihu
    • https://zhuanlan.zhihu.com/p/54089811
  • 做计算机视觉的你，如何拿到大厂的Offer的？可否分享下？zhihu
    • https://www.zhihu.com/question/272045026/answer/366665187
  • 字节跳动计算机视觉算法实习生视频面试 zhihu
    • https://zhuanlan.zhihu.com/p/59270912
  • 2019秋招算法面经 zhihu
    • https://zhuanlan.zhihu.com/p/42936891
  • CVTE视觉计算岗实习面经 zhihu
    • https://zhuanlan.zhihu.com/p/59223324
  • 互联网公司最常见的面试算法题有哪些？zhihu
    • https://www.zhihu.com/question/24964987/answer/586425979
  • 计算机视觉（cv）方向今年招聘情况怎么样?是否已经人才过剩? zhihu
    • https://www.zhihu.com/question/293700785


个人博客
  • AI算法工程师手册 Blog
    • http://www.huaxiaozhuan.com/
  • 小米面试总结 Blog
    • https://wx.qnmlgb.tech/articles/5c55c999ce56ab804b1526cd/
  • 百度/商汤AI面试 CSDN
    • https://blog.csdn.net/emma1222/article/details/86551435
  • 算法校招经验总结(百度,阿里巴巴,腾讯,今日头条) CSDN
    • https://blog.csdn.net/ML_SDD/article/details/84986528
  • CV计算机论文速览 CSDN
    • https://me.csdn.net/u014636245


微信公众号
  • 阿里巴巴计算机视觉算法实习生视频面试  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247488083&idx=3&sn=499149282d197c1b68d3fa105a69e271&chksm=f9a260dcced5e9ca7a86741c90b5199251b4bf02b2279b314fa3302911b8d0c22e036dd7bb33&scene=21#wechat_redirect
  • 面试经验AI算法工程师(面试官角度)  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247487216&idx=1&sn=4516fd92ecd48cebb91629a0b1f3473d&chksm=f9a27c7fced5f5694608c40a8f4dce2636986d28145f073d2d8de088dd5ef3caa66423773787&scene=21#wechat_redirect
  • 从零基础到BAT算法岗SP——秋招准备攻略  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247485936&idx=1&sn=0e156832abdc9bfd4ee82b9b70063b3e&chksm=f9a27b7fced5f26912dd64b3c6f5a2d153068843cce378a8894ffb0ea786bcba698ef0d747f3&scene=21#wechat_redirect
  • 蚂蚁金服/旷视/虹软/腾讯优图暑期实习offer面经  website
    • https://mp.weixin.qq.com/s?__biz=MzI4MDYzNzg4Mw==&mid=2247489199&idx=3&sn=4b1f2f5033929491f56bebbc73a63e63&chksm=ebb42e7bdcc3a76d0c2c9d98f275882b9cbf852c2f32d5ab3977a670690c1150a3ab0b04aa53&scene=0&xtrack=1&key=5aa6b6fc7e8425bd24f718156836dc2e81e8283eeb1653306993c9c6816f5ba1d0415a3a95b30fdb1daf045964002a34ccb8a4f35727519df9aea73b6b87f702d2c2b2549c21f6e5360bf6929136fc5b&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=ESuAgyeBfQrIeEX8gTsQm4%2BCbjzCr74m7714n%2BShviVnNifUDKpDRrHljFR6o7iD
  • 我在美团的这两年（附校招笔试/面试/面经分享）  website
    • https://mp.weixin.qq.com/s?__biz=MzIwOTc2MTUyMg==&mid=2247488886&idx=2&sn=492332b20d3cea34f1abc6db3bb8cbc0&chksm=976fb0eba01839fd0a3d5008ef3f9856497c81ccd7b24b54f6704cbb214c5b1c63e1994bae9e&scene=0&xtrack=1&key=06b9089f8b38a19dc32008401b357b8353893a940dacc033638bccf49fc5b677804c8eaa3a092642351bbe1946e51434390c2505086c24b7e53656d5d496007a8621d2bbaf70a1127653009d9b76b3f5&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=laGKw171mD7STlgm5UhAf8aO5%2FAa0k%2F344uX0n%2FfROga4NBnjwqA%2BHgqlB5IqA5u
  • 1000 面试题，BAT 机器学习面试刷题宝典！  website
    • https://mp.weixin.qq.com/s?__biz=MzU0OTU5OTI4MA==&mid=2247486469&idx=2&sn=14b701639794e67cc63bedea8d2870cb&chksm=fbac2d5accdba44c4930c42ee7c191d0a166c3b3cc8c5e2fa3efe6ed26a992b0cb6283a8114c&scene=0&xtrack=1&key=5121627df01c7147226b38275cec75014ec9b754942505b403947722cb8b7aea53b720546e71ea5d22312783c452de71448362f615081904c0c79cd401fb35fc5334f2a30b4f1ca1a7ddc764eea39116&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=UT934CWNmZoDZ1lVhvHOGEFisJUlIxDGPpY73e7nut1e18SYmUgrBd5XY3S4u28F
  • 如何拿到自己满意的offer？  website
    • https://mp.weixin.qq.com/s?__biz=MzIxOTczOTM4NA==&mid=2247486735&idx=1&sn=73d5b1f2daed2f84ebdfbb8b24040378&chksm=97d7e898a0a0618e94727f87742ef25a058adfa4b122936d1699f3bc58d7f4c2c9066fc616e3&mpshare=1&scene=24&srcid=01048c6NLyyTF2KFsmufQUmu&key=5aa6b6fc7e8425bd2c56dc2d40e38a5420421b970c3032c6a10340aafea634d628efc581ea514113bb3aa32ced5bd66622e00628fc4ab073d3cf26dc370b82f26d7d5fdd5183337e2fa81cf2fbc4c396&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI
  • 机器学习与深度学习常见面试题（上）  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247488694&idx=1&sn=167b8b9897165d3dcb285ffd12ff7aef&chksm=f9a26639ced5ef2ff2317437f5e4bd99ca8ed5d63378df591c8d654656bb7e2e8b262406d746&mpshare=1&scene=24&srcid=0428SfDKuYmDLZAmwecrlang&key=9a1004c4c06b26acf767311bd48d12abe9c4f22d623717fdf4c7c360532478e73b3c6283e549b97aba7f87bddf518c1e273bc4148f28ed46714e24760a11a2f57aaa6d36454cd29c631c5d0b21d298c0&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J
  • 机器学习与深度学习常见面试题（下）  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247488889&idx=1&sn=ac728edf471bcd01e62132f930b14ee3&chksm=f9a267f6ced5eee02d48255208056e2c21b6403a9b00e7ae197b7d3c85e2862a6e607009bc99&scene=0&xtrack=1&key=f7bb43d4492422e0ae8fea0c881639406030f4097e3d118f315e35dcc3e33a7658535cf021dfaf606112db121d98695883fc1bc96e0f411e30e2245ebc95c6a659fa8cf4395fab1cd78593f782063cf8&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J
  • 完备的 AI 学习路线，最详细的资源整理！  website
    • https://mp.weixin.qq.com/s?__biz=MzIwOTc2MTUyMg==&mid=2247488932&idx=1&sn=c827edbdff5cab57b1a5073cbb8569ef&chksm=976fb039a018392f4f6843ddd6677b9da8c321b68ac31ab974f958f00c7e80d027626d83d959&scene=0&xtrack=1&key=06b9089f8b38a19d2e2db06d5c6b94a0345d9e0b8d43b09a54ab6b8b469fd9c19eb67355f4912c2d83a95611e25848af0dac48119a087d173c1909ea1d9941670a4e6e4e481b5b1f20f0a207c899a125&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J
  • 蚂蚁金服面经（已拿 Offer）  website
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  • 30家企业海投，10余家offer，我的漫漫秋招之旅  website
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  • BAT 三连挂是什么体验？硕士小姐姐讲述心酸血泪史！  website
    • https://mp.weixin.qq.com/s?__biz=MzIwOTc2MTUyMg==&mid=2247489196&idx=1&sn=5dfd26065bd8c1ff1cc9b43d3409aff1&chksm=976fb331a0183a2702db877ceab3786ed98a05e02681d051a7be31d8aff897b1c1a51b6d57ad&scene=0&xtrack=1&key=96e38258b65ecb9be54f6002a8d8c812dc8faf5cc224160eae5f2901a3284431f5fcbfb77fc2734e3777c3c1548352414a61e2dc8fc455f08f0c5c850de73d5a0c428b905f0db440f10ef765c6cacc64&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=eLoyWxAMmRP8tTN2FpKEZENTLtDXwjBWG5BgqeCrcHcqS31qaU47ROH3%2FW7pIZWt
  • 数据科学&机器学习基础面试题  website
    • https://mp.weixin.qq.com/s?__biz=MzIyNjM2MzQyNg==&mid=2247484547&idx=2&sn=1f9cfeee41f80623edc493d293d4e1b8&chksm=e870d5cedf075cd886afbee37b79c85dce16f5ae43d300331c5f29e0d64c32b030b621beddaa&scene=0&xtrack=1&key=96e38258b65ecb9b9b652831c3f84574b2f25e7020610c534b933a65b3b61a0cd4a0db2b54d14a128c5e7e8136e59893ae61ee9c06580040a3c7fab669f919f48e749ca1d0f8be9f7295ffed179a4acc&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=M%2Bx4I8699jpuE4n781eOB5axXkLS0Mu7Zrtx6Vi8JsVQhUxr6%2F6aCUmOC8WZybav
  • 计算机视觉、算法岗实习面经（阿里/格灵深瞳/南京地平线机器人）  website
    • https://mp.weixin.qq.com/s?__biz=MzIwOTc2MTUyMg==&mid=2247489566&idx=2&sn=c80be1ba406ccebf43a46db80660a4f1&chksm=976fbd83a0183495acd5bfa788d2ea286eb04249693559309f72e0082e61fab57a3300604270&scene=0&xtrack=1&key=7fca267e209412d9b05c556b42b9a0fe270a7ed740b566281d6a3e47747e97719c66e9f6e9177328b90305a7c54d43a85e73d8eace23e076bb985468996179aa9caed02092d455a2536c605568ff1a75&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=j%2BeTr3gGhtYbB5BELmEqEDAsSEIlbJT1JSozWqEv2dcR7%2FxLFyvlo4SOAEZG3VMy
  • 面经 | 挂两次腾讯面试的春招教训  website
    • https://mp.weixin.qq.com/s?__biz=MzI3NTUwNzMwNA==&mid=2247490123&idx=2&sn=d772fca22b24da33d2d37dcbd3e8ccf8&chksm=eb02eb4cdc75625a87587062c021fd55a0d52b661708fb8ea7ea2c45348aaf45612f5b5a67f1&scene=0&xtrack=1&key=c057d35eab709d255cd973af834e8e7fed12a361e2f9a7f994792b52fe5d0219e5b61ec11a0082ec6d688698b154581151a78facfedbc3e18bd93873a3b2a5262d11d9a9786af2e35e149c4e45048e25&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=iyLHjIA5wZnXmOS0ABLcY2XLov463bca6oRsGuW4BP5gLfODXfelBPUorCcfy5LY
  • Face++公司 - 两轮技术面试面经  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247490838&idx=2&sn=ebab23ad07e81fac51ff73bd05d6d024&chksm=f9a26f99ced5e68f262f1f3378de60c3a13812228592635eea9b1a5b3363d0005e4b166f12de&scene=0&xtrack=1&key=8131978de357c28aca9abbe0f79df6ffb5fd2bf34350c929d44846f26dce3eb3e67e733a7b4fc00f3de641695cf6a36f8eef27d996acdaface59aa2dbd586518c6436be26147ec532797cf23ebd9cc23&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=pAAFeZ%2FWM675ia1cV7wlRX09ocUk2JDlruSKGs7l3i2HbajbZPSzXDNSri3idv6U
  • 秋招面经 | 旷视科技算法岗秋招面试经验分享  website
    • https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247489963&idx=2&sn=e863112b068ad716a9d6dc820eaf004b&chksm=ec1ff452db687d4446dce6640075f144b07f6032e4c7f125d1569783083550b92b5746f59cc3&scene=0&xtrack=1&key=8131978de357c28a4635cd6d39d94a9eb5aa3b39352d0a2110d4fb4370e7b18d4f45750a4ba7ffa904a171d015c95ef1b1b4672224f83c6e3c71443c151dd9d22cb8d65be1f7f8fa5cfa69b197ac2c43&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=%2BALHnM%2BRBZdmh5iwLWmDGy48Bv5N3g6fYsAHbZn8GvqBr8QkG%2FbTMIgivI0Ll2cN
  • 面经+经验分享|2019秋招算法岗复盘  website
    • https://mp.weixin.qq.com/s?__biz=MzI1MzY0MzE4Mg==&mid=2247485062&idx=1&sn=c167c254d0a725cb7cf49fc1d4ed0387&chksm=e9d01647dea79f5111bec97badf23db4711c07e1fc7b9b0b48bef94556f7956936cd1bd89799&scene=0&xtrack=1&key=4e5709a69a44a1ddc80614fd27bc9fd9692e4095edbe878b041ed1e58e4ba8fca1371f265f11d0a574b6fb00ec97896caa2e62b9f2546e5cedfc11556151bc4386ce8343ecc44ab0c232a6f7463c88f9&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=aIZ6cWaLHjOvxT%2Fw%2FmvPE3awD9%2B5yykz%2BYcqY%2BtaGQrGH2p8ftZePYMiyjLPmOUf
  • 专科生阿里大数据一面面经(已过)  website
    • https://mp.weixin.qq.com/s?__biz=Mzg3NjI4OTg1Mw==&mid=2247484222&idx=1&sn=fa0d9084846a3fd2a681afcf7bc5e4e5&chksm=cf35c96cf842407a4cca9b960785ff6909cfe0eba6c9dbd37198c27e6e198dff5c8472548eef&scene=0&xtrack=1&key=dccf35d64f2e46087037d2958558ff4576eedeeaed91d201defca8c13685e3321e80314870260fdf5f4c2a701e1d528c720bede53b67dfa86a92a5b0dfb019282a5ab68d32ef5ed2f2266199f6efe168&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=aIZ6cWaLHjOvxT%2Fw%2FmvPE3awD9%2B5yykz%2BYcqY%2BtaGQrGH2p8ftZePYMiyjLPmOUf
  • 2019秋招算法岗复盘  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjk4MjAxOA==&mid=2247484535&idx=1&sn=6e4b18c801ff1ef350fc8ad1c11a4a72&chksm=f99e501acee9d90cae86eac372cf679ecacb73fc18e4c937a8b6bd1129e5894db7a8c90329d5&scene=0&xtrack=1&key=225412a9c7b5021367e31f82715ee8b8955eb7c2a5d8a5ad916892adbbeaccb2c78eeb2704ae66d998aa0755d01ff755de680aac057b452d7572f6fb9c1740d50346bf71dea9deac9324220f90929182&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=rWrQpFnb7ealkvqkv3J38FWHQCDTbRVo%2BTwD4Gdxp7R8NbjeXhAb%2Fts%2BMA4zNtrO
  • 我面试了10家算法公司，这是我能记住的所有问题  website
    • https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==&mid=2247491149&idx=2&sn=5aa369afa89d2080de45145de40a4855&chksm=f9a26cc2ced5e5d42d5171be277778f8527e99f6c270b4d8290e9defff3d1849d8cd48c3dcbe&scene=0&xtrack=1&key=ee7fe1a80b3162f35a079b9ca82a3398a4b1c1e248c5764200c15f41f0ab1645613e14896741c52d5357b2e9aea72f843e2d5f14a6d7c570e17f2ea3803d3adf3c2b288055c1fe983ed4da1970b0e9cf&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060833&lang=zh_CN&pass_ticket=rWrQpFnb7ealkvqkv3J38FWHQCDTbRVo%2BTwD4Gdxp7R8NbjeXhAb%2Fts%2BMA4zNtrO
  • 计算机视觉算法工程师（旷视、商汤、智云、海康）面试总结  website
    • https://mp.weixin.qq.com/s/lKYmo_Sd5Pq8otvS2_x5iA
  • 秋招面经 | 滴滴20校招CV算法岗面试经验分享(三面）  website
    • https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247490482&idx=2&sn=ffedf241939b45e27020d67b1ad461e1&chksm=ec1ff64bdb687f5d4dfd10a3d3b2f2e70eb87fac9c81357b341dc5c4a6bf1c4dfd077f366149&scene=0&xtrack=1&key=a4f2e1c5351761186dd70d875d82053acf133cf2f6ced0480c4404cbb9302ef413c80539be251de00e5be187a63cdd58ea1381ea6fe0f93c3c97d1bd2d9a59fbd917d0be7ecf53ee389d2743bb2244ea&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060841&lang=zh_CN&pass_ticket=bBA78nBZzTpaKTmAAaWvFQdsuIgbvpsAxFzrpcjvG4m%2BUxCwT%2BGe%2FlP1xh9fyATn
  • 八家国企大数据面经(干货，详细答案)  website
    • https://mp.weixin.qq.com/s?__biz=Mzg3NjI4OTg1Mw==&mid=2247484418&idx=1&sn=b3ef3b3a542105ec201a58171925c9ae&chksm=cf35ce50f8424746b8b36752840c2f36c328b7cdf2f0d483fa0d2b4d440321e0a3eed58ea33f&scene=0&xtrack=1&key=a4f2e1c5351761180b02215d627ba2b8218eb9c90306209837b3a4e8a677c58171c9a898b5953705d17cf0becd00661faec765089231d5d52d62e3ddd4843f808314714a525a16d8005045d0634e4662&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060841&lang=zh_CN&pass_ticket=bBA78nBZzTpaKTmAAaWvFQdsuIgbvpsAxFzrpcjvG4m%2BUxCwT%2BGe%2FlP1xh9fyATn


其他
  • 廖雪峰AI面试资料 BaiduYun ps:uzj9
    • https://pan.baidu.com/s/10NL2yJxsBFjq8PP-wdBfuw
    • ps:uzj9
  • Solutions to Introduction to Algorithms Github
    • https://github.com/gzc/CLRS
  • CV 领域论文常见单词 zhihu
    • https://zhuanlan.zhihu.com/p/60049093
  • CV领域Paper论文常见单词 zhihu
    • https://zhuanlan.zhihu.com/p/58860096
  • Everything you need to know to get the job Github
    • https://github.com/kdn251/interviews
  • Everything you need to prepare for your technical interview Github
    • https://github.com/andreis/interview
  • Materials to help you rock your next coding interview Github
    • https://github.com/yangshun/tech-interview-handbook


     机器学习      
面试问题
  • 机器学习面试算法梳理 Blog
    • https://www.cnblogs.com/tornadomeet/p/3395593.html
  • 面试官如何判断面试者的机器学习水平 zhihu
    • https://www.zhihu.com/question/62482926
  • machine-learning-interview-questions Github
    • https://github.com/Sroy20/machine-learning-interview-questions
  • 机器学习与深度学习面试问题总结  Blog
    • https://mp.weixin.qq.com/s?__biz=MzIxODM4MjA5MA==&mid=2247486331&idx=1&sn=abc69ee44d932dd7d6bc4bbef82045c8&chksm=97ea211ea09da808a546c4a6f485f45289fea2e69cddc95aaf16f06ddfb9c428ecf9d259c980&scene=0&key=f7bb43d4492422e0472e06f4faf0076f9d9de975e8a73050e15cd63f1f549a060f9018009aa9f1f5f19aa37f1408ecb3ea2be5b8464b4eae89884e1d881c91ebef20c84ea9198fed470f36016f54c30a&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI
  • 机器学习面试复习资源 Github
    • https://github.com/wangyuGithub01/Machine_Learning_Resources


资料
  • Your new Mentor for Data Science E-Learning Github
    • https://github.com/clone95/Virgilio
  • 王斌老师翻译的<机器学习实战>书python代码实现 Github
    • https://github.com/wzy6642/Machine-Learning-in-Action-Python3
  • PRML(python) Github
    • https://github.com/ctgk/PRML
  • 李航博士<统计学习方法>一书中所有算法python实现 Github
    • https://github.com/WenDesi/lihang_book_algorithm
  • <统计学习方法>第二版的代码实现 Github
    • https://github.com/fengdu78/lihang-code
  • <机器学习>(西瓜书)公式推导解析 Github
    • https://github.com/datawhalechina/pumpkin-book
  • <数据科学实战>书代码 Github
    • https://github.com/oreillymedia/doing_data_science
  • 机器学习实战(Python3) Github
    • https://github.com/Jack-Cherish/Machine-Learning
  • 吴恩达讲授的机器学习 Coursera 163
    • https://www.coursera.org/learn/machine-learning
  • Solutions to Introduction to Algorithms Third Edition Github
    • https://github.com/walkccc/CLRS
  • Data-Science--Cheat-Sheet Github
    • https://github.com/abhat222/Data-Science--Cheat-Sheet
  • Data Science Crash Course Github
    • https://maria-antoniak.github.io/2018/11/19/data-science-crash-course.html
  • List of Data Science Cheatsheets to rule the world Github
    • https://github.com/FavioVazquez/ds-cheatsheets
  • Your new Mentor for Data Science E-Learning. Github
    • https://github.com/virgili0/Virgilio
  • Python3 入门机器学习 Github
    • https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms
  • DrWhy is the collection of tools for Explainable AI (XAI) Github
    • https://github.com/ModelOriented/DrWhy
  • Fit interpretable models. Explain blackbox machine learning. Github
    • https://github.com/jwasham/coding-interview-university
  • 李宏毅《机器学习》笔记 Github
    • https://github.com/datawhalechina/leeml-notes
  • 机器学习(Machine Learning) 深度学习(Deep Learning) NLP面试中常考到的知识点和代码实现 Github
    • https://github.com/NLP-LOVE/ML-NLP


代码实战
  • 机器学习算法python实现 Github
    • https://github.com/lawlite19/MachineLearning_Python
  • 100-Days-Of-ML-Code中文版 Github
    • https://github.com/MLEveryday/100-Days-Of-ML-Code
  • Homemade Machine Learning Github
    • https://github.com/trekhleb/homemade-machine-learning
  • Python codes for common Machine Learning Algorithms Github
    • https://github.com/susanli2016/Machine-Learning-with-Python
  • Machine-Learning-Study-Path-March-2019 Github
    • https://github.com/clone95/Machine-Learning-Study-Path-March-2019
  • The best resources in Machine Learning & AI Github Website
    • https://github.com/RemoteML/bestofml
    • https://bestofml.com/
  • AiLearning- ML、深度学习 Github
    • https://github.com/apachecn/AiLearning
  • A Machine Learning Course with Python Github
    • https://github.com/machinelearningmindset/machine-learning-course
  • Machine learning, in numpy Github
    • https://github.com/ddbourgin/numpy-ml
  • A complete computer science study plan to become a software engineer. Github
    • https://github.com/ddbourgin/numpy-ml

      深度学习     
面试
  • 深度学习面试问题 Github
    • https://github.com/elviswf/DeepLearningBookQA_cn
  • 2020年的算法实习岗位信息表，部分包括内推码，和常见深度学习算法岗面试题及答案 Github
    • https://github.com/HarleysZhang/2019_algorithm_intern_information
  • Deep Learning Interview 深度学习面试题目汇总 Github
    • https://github.com/ShanghaiTechAIClub/DLInterview
  • 深度学习面试要点总结(面试题) zhihu
    • https://zhuanlan.zhihu.com/p/62935978
  • 自己整理的一点和深度学习相关的面试考点 
    • https://zhuanlan.zhihu.com/p/48374690


资料
  • 深度神经网络实战技巧  Blog
    • https://mp.weixin.qq.com/s?__biz=MzIxODM4MjA5MA==&mid=2247487319&idx=2&sn=35c275493f2c76a557cd5d95cbe728cc&chksm=97ea2532a09dac24d4acee0d38f6f91eee5b27ae0b0396a6186a30e26c2c515fae520013f194&mpshare=1&scene=24&srcid=0915AM36f3jIiv2An5onyGRI&key=026f558c5690f871f52a7864e791811c82fe8d67d1c3604a334a8f8a39c252cbcc03ace1a17af46a7d29333921ca82b635602f95a20b530b7e2ceb2ea411cd1e4867ece5bb7c7307ac3407bf450794e1&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI
  • 深度学习从入门到进阶的12个经典问题及解答  Blog
    • https://mp.weixin.qq.com/s?__biz=MzU1NDA4NjU2MA==&mid=2247489949&idx=2&sn=47ed40dd141c8321bb2478d64b3ec403&chksm=fbe9a052cc9e29447d99413b4bc37adbde195185aa6383166224f9935f0d318d051dd07ccd0c&scene=0&key=5121627df01c7147efe8859959f4d20b73fba95c9371f7ac9d15490736e8e5d799c882d8e8ee86f2177feec1fed1ccbad55b8aa00ea12e7c5f11d9382dc158e587fdd3f670997b791ada4fbbe9bf81e3&ascene=14&uin=MTM2NDUyMTkxOQ%3D%3D&devicetype=Windows+10&version=62060739&lang=zh_CN&pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI
  • 计算机视觉知识点总结 zhihu
    • https://zhuanlan.zhihu.com/p/58776542
  • 图解人工智能 Github
    • https://okai.brown.edu/zh/index.html
  • awesome-deep-learning Github
    • https://github.com/ChristosChristofidis/awesome-deep-learning
  • 深度学习500问 Github
    • https://github.com/scutan90/DeepLearning-500-questions
  • 复旦大学邱锡鹏教授发布<神经网络与深度学习> 
    • Github书 https://github.com/nndl/nndl.github.io
    • Github示例代码 https://github.com/nndl/nndl-codes
    • Github课程练习 https://github.com/nndl/exercise
  • 伯克利课程 <动手学深度学习> 
    • Github https://github.com/d2l-ai/d2l-zh
    • 课程主页 http://courses.d2l.ai/berkeley-stat-157/
    • bilibili https://space.bilibili.com/209599371/channel/detail?cid=23541
    • 课件和习题 https://github.com/d2l-ai/berkeley-stat-157
    • 英文版 http://d2l.ai/
    • 中文版 http://zh.d2l.ai/
    • PyTorch 版 https://github.com/dsgiitr/d2l-pytorch
  • <深度学习理论与实战：提高篇> Github
    • http://fancyerii.github.io/2019/03/14/dl-book/
  • Awesome_Computer_Vision Github
    • https://github.com/ahong007007/Awesome_Computer_Vision
  • Deep-Learning-Papers-Reading-Roadmap Github
    • https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
  • 神经网络讲解视频 
    • YouTube https://youtu.be/aircAruvnKk?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
    • bilibili  http://space.bilibili.com/88461692/#/
  • 神经网络和深度学习的在线书籍 
    • website http://neuralnetworksanddeeplearning.com/
    • chinese https://tigerneil.gitbooks.io/neural-networks-and-deep-learning-zh/content/
  • 花书 Deep Learning 中文版 Github
    • https://github.com/exacity/deeplearningbook-chinese
  • Open AI Blog website
    • https://blog.openai.com/
  • Distill Blog website
    • https://distill.pub/
  • BAIR 博客 website
    • http://bair.berkeley.edu/blog/
  • DeepMind 博客 website
    • https://deepmind.com/blog/?category=research
  • Andrej Karpathy的博客 website
    • http://karpathy.github.io/
  • Christopher Olah的博客 website
    • http://colah.github.io/
  • WildML Blog website
    • http://www.wildml.com/
  • Ruder的博客 website
    • http://ruder.io/
  • FAIR博客 website
    • https://research.fb.com/blog/
  • inFERENCe Blog website
    • http://www.inference.vc/
  • Andrew Trask的博客 website
    • http://iamtrask.github.io/
  • Graduate Descent Blog website
    • http://timvieira.github.io/blog/
  • Adit Deshpande的博客 website
    • https://adeshpande3.github.io/
  • ML/DL学习笔记（基础+论文） Github
    • https://github.com/lartpang/Machine-Deep-Learning
  • 深度神经网络中的一些模型 进行统一的图示 Github
    • https://github.com/weslynn/AlphaTree-graphic-deep-neural-network
  • five-days deep learning 
    • website https://mlelarge.github.io/dataflowr-web/cea_edf_inria.html
    • Github https://github.com/mlelarge/dataflowr
  • Learn_Computer_Vision Github
    • https://github.com/llSourcell/Learn_Computer_Vision
  • Explaining the Math of how neural networks learn Github
    • https://github.com/omar-florez/scratch_mlp
  • (微软) AI-神经网络基本原理简明教程 Github
    • https://github.com/microsoft/ai-edu/tree/master/
  • 深度学习手册 BaiduYun pw:dy6h
    • https://pan.baidu.com/s/1ew3aVZizVkPVKUFx2AtDjw
    • pw:dy6h
  • An educational resource to help anyone learn deep reinforcement learning Github
    • https://github.com/openai/spinningup
  • Technical Notes On Using Data Science & Artificial Intelligence website
    • https://chrisalbon.com/


代码实战Pytorch
  • pytorch 
    • Github https://github.com/pytorch/pytorch
    • Website https://pytorch.org/
  • Offical pytorch examples Github
    • https://github.com/pytorch/examples
  • Offical pytorch tutorials Github
    • https://github.com/pytorch/tutorials
  • stanford-cs-230-deep-learning Github
    • https://github.com/afshinea/stanford-cs-230-deep-learning
  • practicalAI Github
    • https://github.com/GokuMohandas/practicalAI
  • PyTorch中文手册 Github
    • https://github.com/zergtant/pytorch-handbook
  • <深度学习框架PyTorch：入门与实践>的对应代码 Github
    • https://github.com/chenyuntc/pytorch-book
  • code-of-learn-deep-learning-with-pytorch Github
    • https://github.com/L1aoXingyu/code-of-learn-deep-learning-with-pytorch
  • Awesome-pytorch-list Github
    • https://github.com/bharathgs/Awesome-pytorch-list
  • <Pytorch模型训练实用教程>中配套代码 Github
    • https://github.com/tensor-yu/PyTorch_Tutorial
  • An unofficial styleguide and best practices summary for PyTorch Github
    • https://github.com/IgorSusmelj/pytorch-styleguide
  • fast.ai Computational Linear Algebra course Github
    • https://github.com/fastai/numerical-linear-algebra
  • Awesome-PyTorch-Chinese Github
    • https://github.com/INTERMT/Awesome-PyTorch-Chinese
  • Build-an-AI-Startup-with-PyTorch Github
    • https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch


代码实战TensorFlow
  • TensorFlow-From-Zero-To-One Github
    • https://github.com/amusi/TensorFlow-From-Zero-To-One
  • tensorflow2中文教程 Github
    • https://github.com/czy36mengfei/tensorflow2_tutorials_chinese
  • Tensorflow2教程 Github
    • https://zhuanlan.zhihu.com/c_1091021863043624960
  • Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2 Github
    • https://github.com/ageron/handson-ml2
  • TensorFlow 中文资源全集 Gitee
    • https://gitee.com/fendouai/Awesome-TensorFlow-Chinese
  • Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course Github
    • https://github.com/ageron/tf2_course


网课
  • 斯坦福CS231n李飞飞计算机视觉 网易云课堂
    • https://study.163.com/course/courseMain.htm?courseId=1003223001
  • 统计机器学习 网易云课堂
    • https://study.163.com/course/courseMain.htm?courseId=1692004
  • 机器学习导论 网易云课堂
    • https://study.163.com/course/courseMain.htm?courseId=1694003
  • 吴恩达 深度学习工程师 网易云课堂
    • https://mooc.study.163.com/smartSpec/detail/1001319001.htm
  • 计算机视觉基础入门课程（从算法到实战应用） AI研习社
    • http://www.mooc.ai/course/353
  • 卡耐基梅隆大学 2018 秋季《深度学习导论》 AI研习社
    • http://www.mooc.ai/course/562
  • CS224n 斯坦福深度自然语言处理课 AI研习社
    • http://www.mooc.ai/course/494
  • 2018 MIT 6.S094 麻省理工深度学习和自动驾驶课程 AI研习社
    • http://www.mooc.ai/course/483
  • Deep Learning: Advanced Computer Vision udemy
    • https://www.udemy.com/advanced-computer-vision/
  • Computer Vision Certification by State University of New York coursera
    • https://www.coursera.org/specializations/computervision
  • Convolutional Neural Networks coursera
    • https://www.coursera.org/learn/convolutional-neural-networks
  • Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs udemy
    • https://www.udemy.com/course/computer-vision-a-z/
  • 吴恩达的深度学习专项系列课程(Deep Learning Specialization) 
    • Coursera  https://www.coursera.org/specializations/deep-learning
    • 163  https://mooc.study.163.com/smartSpec/detail/1001319001.htm/
  • CS231n
    • http://cs231n.stanford.edu/
  • CS224n
    • http://web.stanford.edu/class/cs224n/
  • 斯坦福公开课程：概率和统计'Probability and Statistics' website
    • https://online.stanford.edu/courses/gse-yprobstat-probability-and-statistics
  • MIT公开课线性代数'Linear Algebra' website
    • https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/
  • Fastai推出的2019年面向程序员的深度学习实战课程'Practical Deep Learning for Coders, v3' website website
    • https://course.fast.ai/
    • https://www.bilibili.com/video/av41718196/
  • 斯坦福机器学习课程'Machine Learning(Coursera)' coursera
    • https://www.coursera.org/learn/machine-learning
  • 斯坦福概率图模型专项课程'Probabilistic Graphical Models Specialization(Coursera)' coursera
    • https://www.coursera.org/specializations/probabilistic-graphical-models
  • DeepMind强化学习导论课程'Introduction to Reinforcement Learning' 
    • bilibili  https://www.bilibili.com/video/av24060851/
    • youtube  https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ
  • 全栈深度学习训练营(课程视频)：为熟悉深度学习基础知识的开发人员提供的实践指导课程'Full Stack Deep Learning Bootcamp'
    • Github  https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
    • bilibili  https://www.bilibili.com/video/av49643298
    • website  https://fullstackdeeplearning.com/march2019
  • 跟顶级Kagglers学习如何赢取数据科学竞赛'How to Win a Data Science Competition: Learn from Top Kagglers (Coursera)' coursera
    • https://www.coursera.org/learn/competitive-data-science
  • CS188伯克利<人工智能导论>课程'BerkeleyX: CS188.1x Artificial Intelligence' 
    • bilibili   https://www.bilibili.com/video/av39489278/
    • website  https://inst.eecs.berkeley.edu/~cs188/fa18/
  • Fast.ai发布的课程：从零开始学深度学习'Deep Learning from the Foundations' website
    • https://www.fast.ai/2019/06/28/course-p2v3/
  • CS230斯坦福深度学习课程(2018 年秋)'CS230: Deep Learning | Autumn 2018' 
    • bilibili  https://www.bilibili.com/video/av47055599/
    • youtube  https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb
  • deeplearning.ai上线的TensorFlow实践课程'TensorFlow in Practice' website
    • https://www.deeplearning.ai/tensorflow-in-practice/
  • MIT的Python机器学习课程'Machine Learning with Python-From Linear Models to Deep Learning' website
    • https://www.edx.org/course/machine-learning-with-python-from-linear-models-to-deep-learning
  • 斯坦福CS224U自然语言理解课程'CS224U：Natural Language Understanding' website
    • http://web.stanford.edu/class/cs224u/index.html
  • 陈蕴侬应用深度学习'107 Spring - Applied Deep Learning, Taiwan University' 
    • bilibili  https://www.bilibili.com/video/av46656764/
    • website  https://www.csie.ntu.edu.tw/~miulab/s107-adl/
  • 台大林轩田老师<机器学习基石>课程 bilibili  https://www.bilibili.com/video/av12463015/
  • 台大林轩田老师课程<机器学习技法>课程 bilibili  https://www.bilibili.com/video/av12469267/
  • NTU大学李宏毅最新机器学习课程(2019) website  http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML19.html


     C/C++      


  • C/C++面试基础知识总结 Github
    • https://github.com/huihut/interview
  • 常见C++笔试面试题整理 zhihu
    • https://zhuanlan.zhihu.com/p/69999591
  • C/C++问题总结 Github
    • https://github.com/linw7/Skill-Tree/blob/master/%E7%BC%96%E7%A8%8B%E8%AF%AD%E8%A8%80C++.md
  • Leetcode 题解代码仓(C++) Github
    • https://github.com/liuyubobobo/Play-Leetcode
  • LeetCode, HackRank, 剑指offer, classic algorithm implementation (C++) Github
    • https://github.com/knightsj/awesome-algorithm-question-solution
  • Data Structure and Algorithm notes数据结构与算法/leetcode/lintcode题解 Github
    • https://github.com/billryan/algorithm-exercise
  • learnOpencv Github
    • https://github.com/spmallick/learnopencv
  • Solutions to Introduction to Algorithms Third Edition 
    • Github https://github.com/walkccc/CLRS/
    • Blog https://walkccc.github.io/CLRS/
  • LeetCode动画 Github
    • https://github.com/MisterBooo/LeetCodeAnimation
  • leetcode题解，记录自己的leetcode解题之路 Github
    • https://github.com/azl397985856/leetcode
  • 剑指offer第二版 BaiduYun
    • https://pan.baidu.com/s/1wU-8q3Mqvr3x6Et8t77Chg
  • <算法导论>的C++实现代码 Github
    • https://github.com/huaxz1986/cplusplus-_Implementation_Of_Introduction_to_Algorithms
  • 数据结构和算法必知必会的50个代码实现 Github
    • https://github.com/wangzheng0822/algo
  • Play Leetcode with different Programming language Github
    • https://github.com/luliyucoordinate/Leetcode
  • leetcode Github
    • https://github.com/azl397985856/leetcode
  • algorithm-visualizer Github
    • https://github.com/algorithm-visualizer/algorithm-visualizer
  • 基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像 Github
    • https://github.com/gloomyfish1998/opencv_tutorial
  • LeetCode solutions in C++ 11 and Python3 Github
    • https://github.com/pezy/LeetCode


     Python      


  • 关于Python的面试题1 Github
    • https://github.com/taizilongxu/interview_python
  • 关于Python的面试题2 Github
    • https://github.com/kenwoodjw/python_interview_question
  • LeetCode, HackRank, 剑指offer, classic algorithm implementation (Python) Github
    • https://github.com/apachecn/awesome-algorithm
  • 剑指offer（python版）/ 算法图解 / python基础 / 数据结构 Github
    • https://github.com/weixianglin/oh-my-python
  • 算法面试题python Github
    • https://github.com/leeguandong/Interview-code-practice-python
  • All Algorithms implemented in Python Github
    • https://github.com/TheAlgorithms/Python
  • Improve your Python by fixing errors Github
    • https://github.com/qxf2/wtfiswronghere
  • wtfpython的中文翻译 Github
    • https://github.com/leisurelicht/wtfpython-cn
  • python中文库-python人工智能大数据自动化接口测试开发。书籍下载及python库汇总 Github
    • https://github.com/china-testing/python-api-tesing
  • Python面试都在这里了【315+道题】 Blog
    • https://github.com/ethan-funny/explore-python
  • The Beauty of Python Programming Github
    • https://github.com/jackfrued/Python-100-Days
  • Python - 100天从新手到大师 Github
    • https://github.com/jackfrued/Python-100-Days
  • 在 Windows 上使用 Python 进行开发 Blog
    • https://github.com/vinta/awesome-python
  • A curated list of awesome Python frameworks, libraries, software and resources Github
    • https://github.com/vinta/awesome-python


      竞赛/比赛      
  • kaggle数据科学竞赛
    • https://tianchi.aliyun.com/competition/gameList/activeList
  • 阿里云天池比赛
    • https://challenger.ai/?lan=zh
  • AI Challenger
    • https://challenger.ai/?lan=zh
  • 和鲸HeyWhale/科赛AI竞赛平台
    • https://www.kesci.com/home/competition
  • FlyAI竞赛平台
    • https://aistudio.baidu.com/aistudio/#/competition
  • BaiduAI竞赛
    • http://www.dcjingsai.com/static_page/cmpList.html
  • DC竞赛
    • http://www.dcjingsai.com/static_page/cmpList.html
  • DataFountain竞赛
    • https://signate.jp/competitions
  • 日本SIGNATE竞赛
    • https://signate.jp/competitions
  • Awesome-AI-competitions
    • https://github.com/HuangCongQing/AI_competitions
  • Driven Data
    • https://www.drivendata.org/competitions/
  • CrowdANALYTIX
    • https://www.innocentive.com/our-solvers/
  • InnoCentive
    • https://www.innocentive.com/our-solvers/
  • TunedIT Challenges
    • https://competitions.codalab.org/
  • CodaLab
    • https://datahack.analyticsvidhya.com/?utm_source=main-logo
  • Analytics Vidhya
    • https://www.crowdai.org/challenges
  • crowdAI
    • https://www.datasciencechallenge.org/
  • Data Science Challenges
    • https://www.datasciencechallenge.org/

      简历/模板     
  • Awesome Resume for Chinese Github
    • https://github.com/amusi/AI-Job-Resume
  • AI算法岗简历模板 Github
    • https://github.com/amusi/AI-Job-Resume
  • 个人简历模板 Github
    • https://github.com/ikym/resume


      其他      


  • 博士生在没有导师指导的情况下，该如何自己选题发 CVPR zhihu
    • https://www.zhihu.com/question/64566768
  • 专为程序员编写的英语学习指南 Github
    • https://github.com/yujiangshui/A-Programmers-Guide-to-English
  • awesome-interview-questions Github
    • https://github.com/MaximAbramchuck/awesome-interview-questions
  • Startups about artificial intelligence. (DM, ML, NLP, CV...) Github
    • https://github.com/majikarp/awesome-programming-books#id-section2
  • Awesome Programming Books Github
    • https://github.com/1c7/crash-course-computer-science-chinese
  • 计算机速成课(全40集) Github
    • https://github.com/1c7/crash-course-computer-science-chinese
  • 清华大学计算机系课程攻略 Github
    • https://github.com/PKUanonym/REKCARC-TSC-UHT
  • 北京大学课程资料整理 Github
    • https://github.com/USTC-Resource/USTC-Course
  • 中国科学技术大学课程资源 Github
    • https://github.com/USTC-Resource/USTC-Course
  • 上海交通大学课程资料分享 Github
    • https://github.com/QSCTech/zju-icicles
  • 浙江大学课程攻略共享计划 Github
    • https://github.com/24OI/OI-wiki
  • 编程竞赛 OI Wiki Github
    • https://github.com/jwasham/coding-interview-university
  • A complete computer science study plan to become a software engineer. Github
    • https://github.com/dipakkr/A-to-Z-Resources-for-Students
  • Curated list of resources for college students Github
    • https://github.com/dipakkr/A-to-Z-Resources-for-Students


-END-
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