# Awesome-algorithm-interview **Repository Path**: zhangbohang/Awesome-algorithm-interview ## Basic Information - **Project Name**: Awesome-algorithm-interview - **Description**: 算法工程师(人工智能CV方向)面试问题及相关资料 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-12-17 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Awesome-algorithm-interview [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) > 算法工程师(人工智能cv方向)面试问题及相关资料的网站收集 [![GitHub stars](https://img.shields.io/github/stars/lcylmhlcy/Awesome-algorithm-interview.svg?style=social&label=Stars)](https://github.com/lcylmhlcy/Awesome-algorithm-interview) [![GitHub forks](https://img.shields.io/github/forks/lcylmhlcy/Awesome-algorithm-interview.svg?style=social&label=Forks)](https://github.com/lcylmhlcy/Awesome-algorithm-interview) ## 目录 - [算法工程师](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#%E7%AE%97%E6%B3%95%E5%B7%A5%E7%A8%8B%E5%B8%88) - [Github](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#1-github) - [牛客网](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#2-%E7%89%9B%E5%AE%A2%E7%BD%91) - [知乎](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#3-%E7%9F%A5%E4%B9%8E) - [个人博客](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#4-%E4%B8%AA%E4%BA%BA%E5%8D%9A%E5%AE%A2) - [微信公众号](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#5-%E5%BE%AE%E4%BF%A1%E5%85%AC%E4%BC%97%E5%8F%B7) - [其它](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#6-%E5%85%B6%E5%AE%83) - [机器学习](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0) - [面试问题](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#1-%E9%9D%A2%E8%AF%95%E9%97%AE%E9%A2%98) - [资料](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#2-%E8%B5%84%E6%96%99) - [代码实战](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#3-%E4%BB%A3%E7%A0%81%E5%AE%9E%E6%88%98) - [深度学习](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0) - [面试](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#1-%E9%9D%A2%E8%AF%95) - [资料](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#2-%E8%B5%84%E6%96%99) - [代码实战 Pytorch](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#3-%E4%BB%A3%E7%A0%81%E5%AE%9E%E6%88%98-pytorch) - [代码实战 Tensorflow](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#4-%E4%BB%A3%E7%A0%81%E5%AE%9E%E6%88%98-tensorflow) - [C/C++](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#cc) - [Python](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#python) - [竞赛/比赛](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#%E7%AB%9E%E8%B5%9B%E6%AF%94%E8%B5%9B) - [简历模板](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#%E7%AE%80%E5%8E%86%E6%A8%A1%E6%9D%BF) - [其它](https://github.com/lcylmhlcy/Awesome-algorithm-interview/blob/master/README.md#%E5%85%B6%E5%AE%83) --- --- ## 算法工程师 ### 1. 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](https://github.com/amusi/AI-Job-Notes) [(amusi)](https://github.com/amusi) - 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) ### 2. 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) ### 3. 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) ### 4. 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) ### 5. 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) - 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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) ### 6. 其它 - 廖雪峰AI面试资料 [BaiduYun](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) --- ## 机器学习 ### 1. 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) ### 2. 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) - <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](https://www.coursera.org/learn/machine-learning) [163](http://open.163.com/special/opencourse/machinelearning.html) - 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) ### 3. 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](https://github.com/RemoteML/bestofml) [Website](https://bestofml.com/) - AiLearning- ML、深度学习 [Github](https://github.com/apachecn/AiLearning) - A Machine Learning Course with Python [Github](hhttps://github.com/machinelearningmindset/machine-learning-course) --- ## 深度学习 ### 1. 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) ### 2. 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/) [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/) - <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) - 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/) - 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） [website](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) ### 3. 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) - 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) ### 4. 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) --- ## C/C++ - C/C++面试基础知识总结 [Github](https://github.com/huihut/interview) - 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) --- ## 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://www.cnblogs.com/wupeiqi/p/9078770.html) --- ## 竞赛/比赛 - [kaggle数据科学竞赛](https://www.kaggle.com/competitions) - [阿里云天池比赛](https://tianchi.aliyun.com/competition/gameList/activeList) - [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://www.flyai.com/) - [BaiduAI竞赛](https://aistudio.baidu.com/aistudio/#/competition) - [DC竞赛](http://www.dcjingsai.com/static_page/cmpList.html) - [DataFountain竞赛](https://www.datafountain.cn/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.crowdanalytix.com/community) - [InnoCentive](https://www.innocentive.com/our-solvers/) - [TunedIT Challenges](http://tunedit.org/challenges) - [CodaLab](https://competitions.codalab.org/) - [Analytics Vidhya](https://datahack.analyticsvidhya.com/?utm_source=main-logo) - [crowdAI](https://www.crowdai.org/challenges) - [Data Science Challenges](https://www.datasciencechallenge.org/) --- ## 简历模板 - Awesome Resume for Chinese [Github](https://github.com/dyweb/awesome-resume-for-chinese) - AI算法岗简历模板 [Github](https://github.com/amusi/AI-Job-Resume) --- ## 其它 - 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/lipiji/AIStartups) - Awesome Programming Books [Github](https://github.com/majikarp/awesome-programming-books#id-section2) - 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/lib-pku/libpku) - 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/CoolPhilChen/SJTU-Courses/) - 浙江大学课程攻略共享计划 [Github](https://github.com/QSCTech/zju-icicles) - 编程竞赛 OI Wiki [Github](https://github.com/24OI/OI-wiki) - Git的奇技淫巧 [Github](https://github.com/521xueweihan/git-tips) - GitHub 漫游指南 [Github](https://github.com/phodal/github)