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Course and Code","2. Documentation","3. Course","1. Github","2. Nowcoder","3. Zhihu","4. Blog","5. WeChat","6. Others","1. Interview","1. Documentation","2. Papers and Algorithm","3. Coding"],"readme":"# Awesome-AI-algorithm\n\n\u003e 人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码（持续更新中）\n\u003e 近期将更新一大波互联网大厂实习内推、校招相关信息（敬请关注！）\n\n[![GitHub stars](https://img.shields.io/github/stars/murufeng/Awesome-AI-algorithm.svg?style=social\u0026label=Stars)](https://github.com/murufeng/Awesome-AI-algorithm) [![GitHub forks](https://img.shields.io/github/forks/murufeng/Awesome-AI-algorithm.svg?style=social\u0026label=Forks)](https://github.com/murufeng/Awesome-AI-algorithm) [![HitCount](http://hits.dwyl.io/murufeng/Awesome-AI-algorithm.svg)](http://hits.dwyl.io/murufeng/Awesome-AI-algorithm)\n  \n## 资料目录\n- **大厂内推：实习/春招/社招**\n  - [微软--自然语言处理实验室(招聘科研实习生)](https://mp.weixin.qq.com/s/VFS3suol7Rph7SFGVO24QA)\n- [算法面试](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#Algorithm-Interview)\n  - [Github](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#1-github)\n  - [牛客网](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#2-nowcoder)\n  - [知乎](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#3-zhihu)\n  - [博客](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#4-blog)\n  - [微信公众号](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#5-wechat)\n  - [其它](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#6-others)\n- [机器学习](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#machine-learning)\n  - [面试](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#1-interview)\n  - [资料](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#2-documentation)\n  - [Github代码](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#3-Coding)\n- [深度学习](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#deep-learning)\n  - [面试](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#1-interview-1)\n  - [资料](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#2-documentation-1)\n  - [课程](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#3-course-1)\n- [强化学习](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#Reinforcement-Learning)\n  - [资料](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#1-Documentation)\n  - [论文](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#2-papers-and-algorithm)\n  - [课程](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#3-Course-and-Code)\n- [C/C++](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#cc)\n- [Python](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#python)\n- [Pytorch](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#pytorch)\n- [TensorFlow](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#tensorflow)\n- [竞赛/比赛平台](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#competition)\n- [其他](https://github.com/murufeng/Awesome-AI-algorithm/blob/master/README.md#others)\n---\n---\n\n## Algorithm Interview\n### 1. Github\n- 2020算法工程师面试题汇总 [website](http://bbs.cvmart.net/topics/1038)\n- 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)\n- 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 [Github](https://github.com/murufeng/interview_internal_reference)\n- 算法工程师面试 [Github](https://github.com/PPshrimpGo/AIinterview)\n- 算法/深度学习/NLP面试笔记 [Github](https://github.com/imhuay/Algorithm_Interview_Notes-Chinese)\n- 2019届秋招面经集合 [Github](https://github.com/zslomo/2019-Autumn-recruitment-experience)\n- 技术面试必备基础知识 [Github](https://github.com/CyC2018/CS-Notes)\n- 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-)\n- 「面试算法练级攻略」-「LeetCode题解」-「剑指offer题解」 [Github](https://github.com/guokaide/algorithm)\n- MVision-awesome [Github](https://github.com/Ewenwan/MVision)\n- Daily Interview [Github](https://github.com/datawhalechina/Daily-interview)\n- 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)\n- CV岗常见面试题 [Github](https://github.com/donnyyou/cv-interview)\n\n\n### 2. Nowcoder\n- 2020届计算机视觉实习生面试经验（腾讯/头条/商汤/旷视/达摩院等） [nowcoder](https://www.nowcoder.com/discuss/159266)\n- 20届-视觉算法-暑期实习 [nowcoder](https://www.nowcoder.com/discuss/173292)\n- 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)\n- 字节跳动实习算法岗面经 [nowcoder](https://www.nowcoder.com/discuss/174565)\n- 阿里腾讯虎牙机器学习算法面经 [nowcoder](https://www.nowcoder.com/discuss/175759)\n- 字节跳动图形图像算法实习面经 [nowcoder](https://www.nowcoder.com/discuss/178153)\n- 拼多多算法实习生面经 [nowcoder](https://www.nowcoder.com/discuss/177911)\n- 算法岗面经传送门 [nowcoder](https://www.nowcoder.com/discuss/180976)\n- 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)\n- cv岗面经 [nowcoder](https://www.nowcoder.com/discuss/159266)\n- 小菜鸡的算法实习面经 [nowcoder](https://www.nowcoder.com/discuss/181770)\n- 机器学习/算法校招面试考点汇总 [nowcoder](https://www.nowcoder.com/discuss/165930)\n- 计算机视觉暑期实习面经 [nowcoder](https://www.nowcoder.com/discuss/186000)\n- 面经 | 商汤科技计算机视觉岗【二面】 [nowcoder](https://www.nowcoder.com/discuss/267852)\n- 面经 | 阿里巴巴达摩院 CV 四轮算法面经 [nowcoder](https://www.nowcoder.com/discuss/216797)\n- 面经 | 百度、美团、拼多多、寒武纪等互联网大厂面试经验 [nowcoder](https://www.nowcoder.com/discuss/241988)\n- 面经 | 旷视科技算法研究员面经 [nowcoder](https://www.nowcoder.com/discuss/167336)\n- 算法面经 | 微软/阿里/百度/字节跳动/华为/OPPO [nowcoder](https://www.nowcoder.com/discuss/181117)\n- 旷视19届春招-算法研究员-凉经 [nowcoder](https://www.nowcoder.com/discuss/167336)\n- 腾讯算法实习面试总结 [nowcoder](https://www.nowcoder.com/discuss/163996)\n- 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)\n- 普通的算法/机器学习面经 [nowcoder](https://www.nowcoder.com/discuss/61907)\n\n\n### 3. Zhihu\n- 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)\n- 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)\n- 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)\n- 2019秋招算法面经 [zhihu](https://zhuanlan.zhihu.com/p/42936891)\n- CVTE视觉计算岗实习面经 [zhihu](https://zhuanlan.zhihu.com/p/59223324)\n- 校招-基础算法图像处理算法 [zhihu](https://zhuanlan.zhihu.com/p/80887909)\n\n### 4. Blog\n- AI算法工程师手册 [Blog](http://www.huaxiaozhuan.com/)\n- 小米面试总结 [Blog](https://wx.qnmlgb.tech/articles/5c55c999ce56ab804b1526cd/)\n- 百度/商汤AI面试 [CSDN](https://blog.csdn.net/emma1222/article/details/86551435)\n- 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)\n- CV计算机论文速览 [CSDN](https://me.csdn.net/u014636245)\n- 海外小硕的国内面试经历 [CSDN](https://blog.csdn.net/emma1222/article/details/86551435)\n- 致未来的算法工程师-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)\n- AI 研习社职荐专区 [AI求职百题斩](https://www.yanxishe.com/blogDetail/14457) [面经](https://www.yanxishe.com/blogDetail/14456) [website](https://job.yanxishe.com/)\n- 算法与数据结构、机器学习、深度学习 [Blog](https://www.liwei.party/)\n\n### 5. WeChat\n- 2020 AI算法岗春招汇总 \u0026 面经大全来了！！！ [website](https://mp.weixin.qq.com/s?__biz=MzU2NDExMzE5Nw==\u0026mid=2247484630\u0026idx=1\u0026sn=29574cff482c2b90bd48f3000a1bb390\u0026chksm=fc4ebe94cb3937821bc2c56583a0ca0f8154e1fb4b06a3b409a79752f7ccbe2dbcb23d634f29\u0026token=336629150\u0026lang=zh_CN#rd)\n- 1000 面试题，BAT 机器学习面试刷题宝典！ [website](https://mp.weixin.qq.com/s?__biz=MzU0OTU5OTI4MA==\u0026mid=2247486469\u0026idx=2\u0026sn=14b701639794e67cc63bedea8d2870cb\u0026chksm=fbac2d5accdba44c4930c42ee7c191d0a166c3b3cc8c5e2fa3efe6ed26a992b0cb6283a8114c\u0026scene=0\u0026xtrack=1\u0026key=5121627df01c7147226b38275cec75014ec9b754942505b403947722cb8b7aea53b720546e71ea5d22312783c452de71448362f615081904c0c79cd401fb35fc5334f2a30b4f1ca1a7ddc764eea39116\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060739\u0026lang=zh_CN\u0026pass_ticket=UT934CWNmZoDZ1lVhvHOGEFisJUlIxDGPpY73e7nut1e18SYmUgrBd5XY3S4u28F)\n- 数据科学\u0026机器学习基础面试题 [website](https://mp.weixin.qq.com/s?__biz=MzIyNjM2MzQyNg==\u0026mid=2247484547\u0026idx=2\u0026sn=1f9cfeee41f80623edc493d293d4e1b8\u0026chksm=e870d5cedf075cd886afbee37b79c85dce16f5ae43d300331c5f29e0d64c32b030b621beddaa\u0026scene=0\u0026xtrack=1\u0026key=96e38258b65ecb9b9b652831c3f84574b2f25e7020610c534b933a65b3b61a0cd4a0db2b54d14a128c5e7e8136e59893ae61ee9c06580040a3c7fab669f919f48e749ca1d0f8be9f7295ffed179a4acc\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060739\u0026lang=zh_CN\u0026pass_ticket=M%2Bx4I8699jpuE4n781eOB5axXkLS0Mu7Zrtx6Vi8JsVQhUxr6%2F6aCUmOC8WZybav)\n- 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==\u0026mid=2247488083\u0026idx=3\u0026sn=499149282d197c1b68d3fa105a69e271\u0026chksm=f9a260dcced5e9ca7a86741c90b5199251b4bf02b2279b314fa3302911b8d0c22e036dd7bb33\u0026scene=21#wechat_redirect)\n- 面试经验AI算法工程师(面试官角度) [website](https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==\u0026mid=2247487216\u0026idx=1\u0026sn=4516fd92ecd48cebb91629a0b1f3473d\u0026chksm=f9a27c7fced5f5694608c40a8f4dce2636986d28145f073d2d8de088dd5ef3caa66423773787\u0026scene=21#wechat_redirect)\n- 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==\u0026mid=2247485936\u0026idx=1\u0026sn=0e156832abdc9bfd4ee82b9b70063b3e\u0026chksm=f9a27b7fced5f26912dd64b3c6f5a2d153068843cce378a8894ffb0ea786bcba698ef0d747f3\u0026scene=21#wechat_redirect)\n- 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==\u0026mid=2247489199\u0026idx=3\u0026sn=4b1f2f5033929491f56bebbc73a63e63\u0026chksm=ebb42e7bdcc3a76d0c2c9d98f275882b9cbf852c2f32d5ab3977a670690c1150a3ab0b04aa53\u0026scene=0\u0026xtrack=1\u0026key=5aa6b6fc7e8425bd24f718156836dc2e81e8283eeb1653306993c9c6816f5ba1d0415a3a95b30fdb1daf045964002a34ccb8a4f35727519df9aea73b6b87f702d2c2b2549c21f6e5360bf6929136fc5b\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060739\u0026lang=zh_CN\u0026pass_ticket=ESuAgyeBfQrIeEX8gTsQm4%2BCbjzCr74m7714n%2BShviVnNifUDKpDRrHljFR6o7iD)\n- 机器学习与深度学习常见面试题（上） [website](https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==\u0026mid=2247488694\u0026idx=1\u0026sn=167b8b9897165d3dcb285ffd12ff7aef\u0026chksm=f9a26639ced5ef2ff2317437f5e4bd99ca8ed5d63378df591c8d654656bb7e2e8b262406d746\u0026mpshare=1\u0026scene=24\u0026srcid=0428SfDKuYmDLZAmwecrlang\u0026key=9a1004c4c06b26acf767311bd48d12abe9c4f22d623717fdf4c7c360532478e73b3c6283e549b97aba7f87bddf518c1e273bc4148f28ed46714e24760a11a2f57aaa6d36454cd29c631c5d0b21d298c0\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060739\u0026lang=zh_CN\u0026pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J)\n- 机器学习与深度学习常见面试题（下） [website](https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==\u0026mid=2247488889\u0026idx=1\u0026sn=ac728edf471bcd01e62132f930b14ee3\u0026chksm=f9a267f6ced5eee02d48255208056e2c21b6403a9b00e7ae197b7d3c85e2862a6e607009bc99\u0026scene=0\u0026xtrack=1\u0026key=f7bb43d4492422e0ae8fea0c881639406030f4097e3d118f315e35dcc3e33a7658535cf021dfaf606112db121d98695883fc1bc96e0f411e30e2245ebc95c6a659fa8cf4395fab1cd78593f782063cf8\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060739\u0026lang=zh_CN\u0026pass_ticket=iqu0jGzZHsjPTDJlLkm0O7uj41FuEikyiBNBZJTYuu65wgzAYk%2Bp3HNofRkaEx1J)\n- 完备的 AI 学习路线，最详细的资源整理！ 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[website](https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==\u0026mid=2247490838\u0026idx=2\u0026sn=ebab23ad07e81fac51ff73bd05d6d024\u0026chksm=f9a26f99ced5e68f262f1f3378de60c3a13812228592635eea9b1a5b3363d0005e4b166f12de\u0026scene=0\u0026xtrack=1\u0026key=8131978de357c28aca9abbe0f79df6ffb5fd2bf34350c929d44846f26dce3eb3e67e733a7b4fc00f3de641695cf6a36f8eef27d996acdaface59aa2dbd586518c6436be26147ec532797cf23ebd9cc23\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060833\u0026lang=zh_CN\u0026pass_ticket=pAAFeZ%2FWM675ia1cV7wlRX09ocUk2JDlruSKGs7l3i2HbajbZPSzXDNSri3idv6U)\n- 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==\u0026mid=2247489963\u0026idx=2\u0026sn=e863112b068ad716a9d6dc820eaf004b\u0026chksm=ec1ff452db687d4446dce6640075f144b07f6032e4c7f125d1569783083550b92b5746f59cc3\u0026scene=0\u0026xtrack=1\u0026key=8131978de357c28a4635cd6d39d94a9eb5aa3b39352d0a2110d4fb4370e7b18d4f45750a4ba7ffa904a171d015c95ef1b1b4672224f83c6e3c71443c151dd9d22cb8d65be1f7f8fa5cfa69b197ac2c43\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060833\u0026lang=zh_CN\u0026pass_ticket=%2BALHnM%2BRBZdmh5iwLWmDGy48Bv5N3g6fYsAHbZn8GvqBr8QkG%2FbTMIgivI0Ll2cN)\n- 面经+经验分享|2019秋招算法岗复盘 [website](https://mp.weixin.qq.com/s?__biz=MzI1MzY0MzE4Mg==\u0026mid=2247485062\u0026idx=1\u0026sn=c167c254d0a725cb7cf49fc1d4ed0387\u0026chksm=e9d01647dea79f5111bec97badf23db4711c07e1fc7b9b0b48bef94556f7956936cd1bd89799\u0026scene=0\u0026xtrack=1\u0026key=4e5709a69a44a1ddc80614fd27bc9fd9692e4095edbe878b041ed1e58e4ba8fca1371f265f11d0a574b6fb00ec97896caa2e62b9f2546e5cedfc11556151bc4386ce8343ecc44ab0c232a6f7463c88f9\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060833\u0026lang=zh_CN\u0026pass_ticket=aIZ6cWaLHjOvxT%2Fw%2FmvPE3awD9%2B5yykz%2BYcqY%2BtaGQrGH2p8ftZePYMiyjLPmOUf)\n- 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==\u0026mid=2247491149\u0026idx=2\u0026sn=5aa369afa89d2080de45145de40a4855\u0026chksm=f9a26cc2ced5e5d42d5171be277778f8527e99f6c270b4d8290e9defff3d1849d8cd48c3dcbe\u0026scene=0\u0026xtrack=1\u0026key=ee7fe1a80b3162f35a079b9ca82a3398a4b1c1e248c5764200c15f41f0ab1645613e14896741c52d5357b2e9aea72f843e2d5f14a6d7c570e17f2ea3803d3adf3c2b288055c1fe983ed4da1970b0e9cf\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060833\u0026lang=zh_CN\u0026pass_ticket=rWrQpFnb7ealkvqkv3J38FWHQCDTbRVo%2BTwD4Gdxp7R8NbjeXhAb%2Fts%2BMA4zNtrO)\n- 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)\n- 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==\u0026mid=2247490482\u0026idx=2\u0026sn=ffedf241939b45e27020d67b1ad461e1\u0026chksm=ec1ff64bdb687f5d4dfd10a3d3b2f2e70eb87fac9c81357b341dc5c4a6bf1c4dfd077f366149\u0026scene=0\u0026xtrack=1\u0026key=a4f2e1c5351761186dd70d875d82053acf133cf2f6ced0480c4404cbb9302ef413c80539be251de00e5be187a63cdd58ea1381ea6fe0f93c3c97d1bd2d9a59fbd917d0be7ecf53ee389d2743bb2244ea\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060841\u0026lang=zh_CN\u0026pass_ticket=bBA78nBZzTpaKTmAAaWvFQdsuIgbvpsAxFzrpcjvG4m%2BUxCwT%2BGe%2FlP1xh9fyATn)\n- 秋招经历（已收到百度、阿里、腾讯、美团、京东、拼多多的 offer） [website](https://mp.weixin.qq.com/s?__biz=MzIwODI2NDkxNQ==\u0026mid=2247484467\u0026idx=1\u0026sn=4e4ea07d5daa4491c47623ccae364053\u0026chksm=97048f8fa07306991c41e1b36c241e66cfe329793b3868abf9b69c9f6c8e22ed65ccdc81050b\u0026scene=0\u0026xtrack=1\u0026key=f3b89a09cde51f0f18b12ad73080cb4476e44408f3adf8bf3dcb0a444d2394a43bc4d562865cb056402b1336a61cfbf2bedfce5c082867a1dfc3415eb9843d71537a4d52657e975c9a6d634e95a5acb8\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060841\u0026lang=zh_CN\u0026pass_ticket=RpJWE06PIp32SBXL8%2FeBcKde4wI7jAKOPyofLWQB%2FfLrZ2GcooZxvXB2E1yAZax7)\n- 10大机器学习Q\u0026A，面试必知！ [website](https://mp.weixin.qq.com/s?__biz=MzUxNjcxMjQxNg==\u0026mid=2247491786\u0026idx=4\u0026sn=0b90f86f56cdee3ca6d521ba5daa431d\u0026chksm=f9a19245ced61b53843fd0ebce665682e1f32ba783a53047ada8588996544053282d7988ccd0\u0026scene=0\u0026xtrack=1\u0026key=a4f2e1c5351761187f5a6ed4c82f78256be962afa2035410b0c853353d63912b5bb6ba70dbfba485d77a657e724808eebc40721de0069b67d3a8e55379ab42898bfae411820edf36cc4d2128efd7133d\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060841\u0026lang=zh_CN\u0026pass_ticket=qYkZjE2bwZNl6kCdiw9%2FVQhvf4pr95lZY5htRdH4dZlMmAkwLaO37AuuvCezNz0w)\n- 机器学习常见算法优缺点总结！ [website](https://mp.weixin.qq.com/s?__biz=MzI1MzY0MzE4Mg==\u0026mid=2247485383\u0026idx=1\u0026sn=dc481b7e6261aecfada7b772fd2ae471\u0026chksm=e9d01706dea79e1097a39ee0779dd8ab99671714f177133fc9f4dbd531e0cee4807cd34f178c\u0026scene=0\u0026xtrack=1\u0026key=d5739ef05bcda6301af88ca81d2856a4296b48c7e05d1733f3d195063ccd566c1430c6d2cbf990173ec038c842d0b8c710678815b45174cb508e0e6c80e5d48790e062a492ef85b13f3b9a4d2b644b77\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060841\u0026lang=zh_CN\u0026pass_ticket=CqBupw%2FP1tVbatYy5KtWCuDWZ2meT4iMIDhjMVNgyWAou9uxB8EDLiHzBzTHh2xj)\n- 2019秋招AI算法岗复盘 [website](https://mp.weixin.qq.com/s?__biz=MzIxOTczOTM4NA==\u0026mid=2247488788\u0026idx=2\u0026sn=50116b5ec4c9171b49bb52d36386a9ff\u0026chksm=97d7f083a0a079952bdb093250f6ee01a15434ba5b3f7d8ae038cba23a7c28315d331a0ceedd\u0026scene=0\u0026xtrack=1\u0026key=a4f2e1c535176118d1a03004f064566b9a1952a6fada428118cb08d353feab39102f225cb6fff0f98cf55790d9d3a589ea653a270e5e6e89407c726a2c3483a980cbbbda8890a3cecfe24fd88348e1ca\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060841\u0026lang=zh_CN\u0026pass_ticket=e6hh0zbWeUNXFGwXBwcggQr95dIdog5Q1MWep%2FM9ahanjOPwIheztFnowX0pNCPE)\n- 秋招面验 | 计算机视觉汇总面经分享 [website](https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==\u0026mid=2247491490\u0026idx=2\u0026sn=cd09d4186254d18aef769fc634d68e86\u0026chksm=ec1ff25bdb687b4de2e46645891760f19637bb9a357d07aa72fb61ada483cf486c5a1e352170\u0026scene=0\u0026xtrack=1\u0026key=a4f2e1c5351761188e9e953dfd54a925f5b9cd52bc369cbfb582cfb4f749c6ee2aa611832c4d2b714b81a6b4abc9ac8bc737eb46c8128f157660d2d23f2bf176c051a2e972f10b346884e58009985fa7\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060841\u0026lang=zh_CN\u0026pass_ticket=e6hh0zbWeUNXFGwXBwcggQr95dIdog5Q1MWep%2FM9ahanjOPwIheztFnowX0pNCPE)\n- 面试官比较看重简历中的哪些维度，有什么写简历的技巧、建议和总结？ [website](https://mp.weixin.qq.com/s?__biz=MzIyNjM2MzQyNg==\u0026mid=2247487038\u0026idx=1\u0026sn=0ac71c12bd7d54a9a52b5e97a9622fe6\u0026chksm=e870df73df075665392ddced32243db8058297e2d0d67e757aac9adec8f5dd2dbe4d1f7c0523\u0026mpshare=1\u0026scene=1\u0026srcid=\u0026sharer_sharetime=1573355519003\u0026sharer_shareid=8724c7983f20914ec3c0c086bba89335\u0026key=d4e2e0a334fd7fc709362ca1227355bf6c28c5babea298ca5610006e4c4531543ae1a28be050456a55c994a46bd6e4895aa6643190377fc359e04dae87a37272a4112e7552e8bcaedd60bfa1b01539f6\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62070152\u0026lang=zh_CN\u0026pass_ticket=bKjcsGTk1thGyRHccXtSB6iwtrQWAI3mkAWK%2FFUqE6qp4dWMipHk2gUW9BhzyLCY)\n\n\n### 6. Others\n- Solutions to Introduction to Algorithms [Github](https://github.com/gzc/CLRS)\n- CV 领域论文常见单词 [zhihu](https://zhuanlan.zhihu.com/p/60049093)\n- CV 领域Paper论文常见单词 [zhihu](https://zhuanlan.zhihu.com/p/58860096)\n---\n\n## Machine Learning \n### 1. Interview\n- machine-learning-interview-questions [Github](https://github.com/Sroy20/machine-learning-interview-questions)\n- 机器学习与深度学习面试问题总结 [Blog](https://mp.weixin.qq.com/s?__biz=MzIxODM4MjA5MA==\u0026mid=2247486331\u0026idx=1\u0026sn=abc69ee44d932dd7d6bc4bbef82045c8\u0026chksm=97ea211ea09da808a546c4a6f485f45289fea2e69cddc95aaf16f06ddfb9c428ecf9d259c980\u0026scene=0\u0026key=f7bb43d4492422e0472e06f4faf0076f9d9de975e8a73050e15cd63f1f549a060f9018009aa9f1f5f19aa37f1408ecb3ea2be5b8464b4eae89884e1d881c91ebef20c84ea9198fed470f36016f54c30a\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62060739\u0026lang=zh_CN\u0026pass_ticket=fLkIwHFJHv2%2FbP8RGzzYjXOZFDZBSwG0jwcmIEQhVi6CQoLDsa0PiCF8xoyKnPtI)\n- 机器学习面试复习资源 [Github](https://github.com/wangyuGithub01/Machine_Learning_Resources)\n- 机器学习面试算法梳理 [Blog](https://www.cnblogs.com/tornadomeet/p/3395593.html)\n\n### 2. Documentation\n- 模式识别圣经-PRML(python) [Github](https://github.com/ctgk/PRML)\n- ML/DL学习笔记（基础+论文） [Github](https://github.com/lartpang/Machine-Deep-Learning)\n- 李航博士\u003c统计学习方法\u003e一书中所有算法python实现 [Github](https://github.com/WenDesi/lihang_book_algorithm)\n- \u003c统计学习方法\u003e第二版的代码实现 [Github](https://github.com/fengdu78/lihang-code)\n- \u003c机器学习\u003e(西瓜书)公式推导解析 [Github](https://github.com/datawhalechina/pumpkin-book)\n- \u003c数据科学实战\u003e书代码 [Github](https://github.com/oreillymedia/doing_data_science)\n- 机器学习实战(Python3) [Github](https://github.com/Jack-Cherish/Machine-Learning)\n- 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)\n- Python3 入门机器学习 [Github](https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms)\n- 李宏毅《机器学习》笔记 [Github](https://github.com/datawhalechina/leeml-notes)\n- 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)\n- 周志华《机器学习》手推笔记 [Github](https://github.com/Sophia-11/Machine-Learning-Notes)\n-  《Python 机器学习》 [Github](https://github.com/rasbt/python-machine-learning-book-2nd-edition)\n\n### 3. Coding\n- 机器学习算法python实现 [Github](https://github.com/lawlite19/MachineLearning_Python)\n- 100-Days-Of-ML-Code中文版 [Github](https://github.com/MLEveryday/100-Days-Of-ML-Code)\n- Homemade Machine Learning [Github](https://github.com/trekhleb/homemade-machine-learning)\n- Python codes for common Machine Learning Algorithms [Github](https://github.com/susanli2016/Machine-Learning-with-Python)\n- Machine-Learning-Study-Path-March-2019 [Github](https://github.com/clone95/Machine-Learning-Study-Path-March-2019)\n- The best resources in Machine Learning \u0026 AI [Github](https://github.com/RemoteML/bestofml) [Website](https://bestofml.com/)\n- A Machine Learning Course with Python [Github](https://github.com/machinelearningmindset/machine-learning-course)\n- Machine learning, in numpy [Github](https://github.com/ddbourgin/numpy-ml)\n- A complete computer science study plan to become a software engineer. [Github](https://github.com/ddbourgin/numpy-ml)\n\n---\n\n## Deep Learning  \n\n### 1. Interview\n- 深度学习面试问题 [Github](https://github.com/elviswf/DeepLearningBookQA_cn)\n- 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)\n- Deep Learning Interview 深度学习面试题目汇总 [Github](https://github.com/ShanghaiTechAIClub/DLInterview)\n- 深度学习面试要点总结(面试题) [zhihu](https://zhuanlan.zhihu.com/p/62935978)\n- 自己整理的一点和深度学习相关的面试考点 [zhihu](https://zhuanlan.zhihu.com/p/48374690)\n\n### 2. Documentation\n- 机器学习/计算机视觉/ NLP的论文及笔记 [Github](https://github.com/yassouali/ML_paper_notes)\n- 计算机视觉知识点总结 [zhihu](https://zhuanlan.zhihu.com/p/58776542)\n- awesome-deep-learning [Github](https://github.com/ChristosChristofidis/awesome-deep-learning)\n- 深度学习500问 [Github](https://github.com/scutan90/DeepLearning-500-questions)\n- 复旦大学邱锡鹏教授发布\u003c神经网络与深度学习\u003e [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)\n- 伯克利课程 \u003c动手学深度学习\u003e [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](\nhttps://github.com/dsgiitr/d2l-pytorch)\n- \u003c深度学习理论与实战：提高篇\u003e [Github](http://fancyerii.github.io/2019/03/14/dl-book/)\n- Awesome_Computer_Vision [Github](https://github.com/ahong007007/Awesome_Computer_Vision)\n- Deep-Learning-Papers-Reading-Roadmap [Github](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)\n- 神经网络讲解视频 [YouTube](https://youtu.be/aircAruvnKk?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi) [bilibili](http://space.bilibili.com/88461692/#/)\n- 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/)\n- 深度学习圣经(花书)Deep Learning 中文版 [Github](https://github.com/exacity/deeplearningbook-chinese)\n- Open AI Blog [website](https://blog.openai.com/)\n- BAIR 博客 [website](http://bair.berkeley.edu/blog/)\n- DeepMind 博客 [website](https://deepmind.com/blog/?category=research)\n- Andrej Karpathy的博客 [website](http://karpathy.github.io/)\n- Christopher Olah的博客 [website](http://colah.github.io/)\n- WildML Blog [website](http://www.wildml.com/)\n- Ruder的博客 [website](http://ruder.io/)\n- FAIR博客 [website](https://research.fb.com/blog/)\n- inFERENCe Blog [website](http://www.inference.vc/)\n- Andrew Trask的博客 [website](http://iamtrask.github.io/)\n- Graduate Descent Blog [website](http://timvieira.github.io/blog/)\n- Adit Deshpande的博客 [website](https://adeshpande3.github.io/)\n- createmomo的博客 [website](https://createmomo.github.io/)\n- 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)\n- five-days deep learning [website](https://mlelarge.github.io/dataflowr-web/cea_edf_inria.html) [Github](https://github.com/mlelarge/dataflowr)\n- Learn_Computer_Vision [Github](https://github.com/llSourcell/Learn_Computer_Vision)\n- Explaining the Math of how neural networks learn [Github](https://github.com/omar-florez/scratch_mlp)\n- (微软) AI-神经网络基本原理简明教程 [Github](https://github.com/microsoft/ai-edu/tree/master/)\n- 深度学习手册 [BaiduYun](https://pan.baidu.com/s/1ew3aVZizVkPVKUFx2AtDjw) pw:dy6h\n- An educational resource to help anyone learn deep reinforcement learning [Github](https://github.com/openai/spinningup)\n- Technical Notes On Using Data Science \u0026 Artificial Intelligence [website](https://chrisalbon.com/)\n- 微软人工智能教育与学习共建社区 [Github](https://github.com/microsoft/ai-edu)\n- deep-learning-drizzle [Github](https://github.com/kmario23/deep-learning-drizzle)\n- pyimagesearch [Website](https://www.pyimagesearch.com/)\n\n  \n### 3. Course\n- MIT 深度学习 [Github](https://github.com/lexfridman/mit-deep-learning)\n- 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)\n- 统计机器学习 [网易云课堂](https://study.163.com/course/courseMain.htm?courseId=1692004)\n- 机器学习导论 [网易云课堂](https://study.163.com/course/courseMain.htm?courseId=1694003)\n- 吴恩达 深度学习工程师 [网易云课堂](https://mooc.study.163.com/smartSpec/detail/1001319001.htm)\n- Deep Learning: Advanced Computer Vision [udemy](https://www.udemy.com/advanced-computer-vision/)\n- Computer Vision Certification by State University of New York [coursera](https://www.coursera.org/specializations/computervision)\n- Convolutional Neural Networks [coursera](https://www.coursera.org/learn/convolutional-neural-networks)\n- Deep Learning and Computer Vision A-Z: OpenCV, SSD \u0026 GANs [udemy](https://www.udemy.com/course/computer-vision-a-z/)\n- 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/)\n- [CS231n](http://cs231n.stanford.edu/)\n- [CS224n](http://web.stanford.edu/class/cs224n/)\n- 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)\n- MIT公开课线性代数'Linear Algebra' [website](https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/)\n- 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](https://course.fast.ai) [website](https://www.bilibili.com/video/av41718196/)\n- 斯坦福机器学习课程'Machine Learning(Coursera)' [coursera](https://www.coursera.org/learn/machine-learning)\n- 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)\n- 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)\n- 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)\n- 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)\n- CS188伯克利\u003c人工智能导论\u003e课程'BerkeleyX: CS188.1x Artificial Intelligence' [bilibili](https://www.bilibili.com/video/av39489278/) [website](https://inst.eecs.berkeley.edu/~cs188/fa18/)\n- 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/)\n- 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)\n- deeplearning.ai上线的TensorFlow实践课程'TensorFlow in Practice' [website](https://www.deeplearning.ai/tensorflow-in-practice/)\n- 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)\n- 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)\n- 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/)\n- 台大林轩田老师\u003c机器学习基石\u003e课程 [bilibili](https://www.bilibili.com/video/av12463015/)\n- 台大林轩田老师课程\u003c机器学习技法\u003e课程 [bilibili](https://www.bilibili.com/video/av12469267/)\n- 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)\n- UC伯克利最新深度强化学习课程 [website](http://rail.eecs.berkeley.edu/deeprlcourse/) [YouTube](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A) [bilibili](https://www.bilibili.com/video/av69455099/) [Github](https://github.com/berkeleydeeprlcourse/homework)\n- 微软-计算机视觉最佳实践、代码示例和相关文档 [Github](https://github.com/microsoft/ComputerVision)\n\n---\n\n## Reinforcement Learning\n\n### 1. Documentation\n- reinforcement learning an introduction [Github](https://github.com/ShangtongZhang/reinforcement-learning-an-introduction)\n- Python强化学习实战_Sudharsan Ravichandiran [Github](https://github.com/AndyYue1893/Hands-On-Reinforcement-Learning-With-Python)\n- 强化学习圣经_Rich Sutton_中文书、英文电子书、代码 [Github](https://github.com/AndyYue1893/reinforcement-learning-an-introduction)\n- 强化学习精要_冯超 (从基础到前沿，附代码) [jd](https://item.jd.com/12344157.html)\n- OpenAI Spinning Up英文版、中文版 [zhihu](https://zhuanlan.zhihu.com/p/49087870)\n- David Silver强化学习公开课中文讲解及实践 [zhihu](https://zhuanlan.zhihu.com/reinforce)\n- 强化学习基础David Silver笔记（陈雄辉，南大，DiDi AI Labs）[zhihu](https://zhuanlan.zhihu.com/c_135909947)\n- Reinforcement Learning With Open AI TensorFlow and Keras Using Python_OpenAI(注重实战)  [BaiduYun](https://pan.baidu.com/share/init?surl=nQpNbhkI-3WucSD0Mk7Qcg) [提取码](av5p)\n- 深度强化学习落地方法论 [zhihu](https://zhuanlan.zhihu.com/c_1186982555915599872)\n\n### 2. Papers and Algorithm\n- NeuronDance  [Github](https://github.com/AndyYue1893/DeepRL-1/tree/master/A-Guide-Resource-For-DeepRL)\n- DQN [paper](https://storage.googleapis.com/deepmind-data/assets/papers/DeepMindNature14236Paper.pdf)\n- DDPG [paper](http://proceedings.mlr.press/v32/silver14.pdf)\n- A3C [paper](https://www.researchgate.net/publication/301847678_Asynchronous_Methods_for_Deep_Reinforcement_Learning)\n- 清华张楚珩博士(强化学习论文汇总) [zhihu](https://zhuanlan.zhihu.com/p/46600521)\n- papers with code [papers](https://www.paperswithcode.com/area/playing-games)  [Github](https://github.com/AndyYue1893/pwc)\n\n### 3. Course and Code\n- 腾讯_周沫凡_强化学习、教程、代码 [bilibili](https://www.bilibili.com/video/av16921335?from=search\u0026seid=7037144790835305588)  [个人主页](https://morvanzhou.github.io/)  [Github](https://github.com/AndyYue1893/Reinforcement-learning-with-tensorflow)\n- DeepMind_David Silver_UCL深度强化学习课程(2015)、PPT、笔记及代码   [bilibili](https://www.bilibili.com/video/av45357759?from=search\u0026seid=7037144790835305588)  [zhihu](https://zhuanlan.zhihu.com/p/37690204)\n- 台大_李宏毅_深度强化学习(国语)课程(2018)、PPT、笔记   [bilibili](https://www.bilibili.com/video/av24724071?from=search\u0026seid=7037144790835305588) [PPT](http://speech.ee.ntu.edu.tw/~tlkagk/courses_MLDS18.html) [note](https://blog.csdn.net/cindy_1102/article/details/87904928)\n- Berkeley_Sergey Levine_CS285(294)深度强化学习(2019)、PPT、代码   [bilibili](https://www.bilibili.com/video/av69455099?from=search\u0026seid=7037144790835305588)  [PPT](http://rail.eecs.berkeley.edu/deeprlcourse/)  [Github](https://github.com/berkeleydeeprlcourse/homework)\n\n---\n\n  \n## C/C++\n- C/C++面试基础知识总结 [Github](https://github.com/huihut/interview)\n- 常见C++笔试面试题整理 [zhihu](https://zhuanlan.zhihu.com/p/69999591)\n- 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)\n- Leetcode 题解代码仓(C++) [Github](https://github.com/liuyubobobo/Play-Leetcode)\n- LeetCode, HackRank, 剑指offer, classic algorithm implementation (C++) [Github](https://github.com/knightsj/awesome-algorithm-question-solution)\n- Data Structure and Algorithm notes数据结构与算法/leetcode/lintcode题解 [Github](https://github.com/billryan/algorithm-exercise)\n- learnOpencv [Github](https://github.com/spmallick/learnopencv)\n- Solutions to Introduction to Algorithms Third Edition [Github](https://github.com/walkccc/CLRS/) [Blog](https://walkccc.github.io/CLRS/)\n- LeetCode动画 [Github](https://github.com/MisterBooo/LeetCodeAnimation)\n- leetcode题解，记录自己的leetcode解题之路 [Github](https://github.com/azl397985856/leetcode)\n- 剑指offer第二版 [BaiduYun](https://pan.baidu.com/s/1wU-8q3Mqvr3x6Et8t77Chg)\n- \u003c算法导论\u003e的C++实现代码 [Github](https://github.com/huaxz1986/cplusplus-_Implementation_Of_Introduction_to_Algorithms)\n- 数据结构和算法必知必会的50个代码实现 [Github](https://github.com/wangzheng0822/algo)\n- Play Leetcode with different Programming language [Github](https://github.com/luliyucoordinate/Leetcode)\n- leetcode [Github](https://github.com/azl397985856/leetcode)\n- algorithm-visualizer [Github](https://github.com/algorithm-visualizer/algorithm-visualizer)\n- 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)\n- LeetCode solutions in C++ 11 and Python3 [Github](https://github.com/pezy/LeetCode)\n  \n---\n  \n## Python\n- cracking the coding interview [Github](https://github.com/keyejia/Cracking-the-coding-interview-in-Python)\n- Python 开源项目大集合，跨 15 个领域，181 个项目 [Github](https://github.com/mahmoud/awesome-python-applications)\n- 关于Python的面试题1 [Github](https://github.com/taizilongxu/interview_python)\n- 关于Python的面试题2 [Github](https://github.com/kenwoodjw/python_interview_question)\n- LeetCode, HackRank, 剑指offer, classic algorithm implementation (Python) [Github](https://github.com/apachecn/awesome-algorithm)\n- 剑指offer（python版）/ 算法图解 / python基础 / 数据结构 [Github](https://github.com/weixianglin/oh-my-python)\n- 算法面试题python [Github](https://github.com/leeguandong/Interview-code-practice-python)\n- All Algorithms implemented in Python [Github](https://github.com/TheAlgorithms/Python)\n- Improve your Python by fixing errors [Github](https://github.com/qxf2/wtfiswronghere)\n- wtfpython的中文翻译 [Github](https://github.com/leisurelicht/wtfpython-cn)\n- 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)  \n- Python面试都在这里了【315+道题】 [Blog](https://www.cnblogs.com/wupeiqi/p/9078770.html)\n- The Beauty of Python Programming [Github](https://github.com/ethan-funny/explore-python)\n- Python - 100天从新手到大师 [Github](https://github.com/jackfrued/Python-100-Days)\n- 在 Windows 上使用 Python 进行开发 [Blog](https://docs.microsoft.com/zh-cn/windows/python/)\n- A curated list of awesome Python frameworks, libraries, software and resources [Github](https://github.com/vinta/awesome-python)\n- c9-python-getting-started [Github](https://github.com/microsoft/c9-python-getting-started)\n- 编程超能力入门班 [Blog](www.enginego.org)\n  \n---\n\n\n## Pytorch\n- pytorch [Github](https://github.com/pytorch/pytorch) [Website](https://pytorch.org/)\n- Offical pytorch examples [Github](https://github.com/pytorch/examples)\n- Offical pytorch tutorials [Github](https://github.com/pytorch/tutorials)\n- stanford-cs-230-deep-learning [Github](https://github.com/afshinea/stanford-cs-230-deep-learning)\n- practicalAI [Github](https://github.com/GokuMohandas/practicalAI)\n- PyTorch中文手册 [Github](https://github.com/zergtant/pytorch-handbook)\n- \u003c深度学习框架PyTorch：入门与实践\u003e的对应代码 [Github](https://github.com/chenyuntc/pytorch-book)\n- code-of-learn-deep-learning-with-pytorch [Github](https://github.com/L1aoXingyu/code-of-learn-deep-learning-with-pytorch)\n- Awesome-pytorch-list [Github](https://github.com/bharathgs/Awesome-pytorch-list)\n- \u003cPytorch模型训练实用教程\u003e中配套代码 [Github](https://github.com/tensor-yu/PyTorch_Tutorial)\n- An unofficial styleguide and best practices summary for PyTorch [Github](https://github.com/IgorSusmelj/pytorch-styleguide)\n- fast.ai Computational Linear Algebra course [Github](https://github.com/fastai/numerical-linear-algebra)\n- Awesome-PyTorch-Chinese [Github](https://github.com/INTERMT/Awesome-PyTorch-Chinese)\n- Build-an-AI-Startup-with-PyTorch [Github](https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch)\n- First steps towards Deep Learning with pyTorch [Github](https://github.com/vaibhawvipul/First-steps-towards-Deep-Learning)\n\n---\n\n  \n## Tensorflow\n- TensorFlow 2.0 深度学习开源书 [Github](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book)\n- TensorFlow-From-Zero-To-One [Github](https://github.com/amusi/TensorFlow-From-Zero-To-One)\n- tensorflow2中文教程 [Github](https://github.com/czy36mengfei/tensorflow2_tutorials_chinese)\n- Tensorflow2教程 [Github](https://zhuanlan.zhihu.com/c_1091021863043624960)\n- Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2 [Github](https://github.com/ageron/handson-ml2)\n- TensorFlow 中文资源全集 [Gitee](https://gitee.com/fendouai/Awesome-TensorFlow-Chinese)\n- Notebooks for my \"Deep Learning with TensorFlow 2 and Keras\" course [Github](https://github.com/ageron/tf2_course)\n\n---\n\n  \n## Competition\n- [kaggle数据科学竞赛](https://www.kaggle.com/competitions)\n- [阿里云天池比赛](https://tianchi.aliyun.com/competition/gameList/activeList)\n- [AI Challenger](https://challenger.ai/?lan=zh)\n- [和鲸HeyWhale/科赛AI竞赛平台](https://www.kesci.com/home/competition)\n- [FlyAI竞赛平台](https://www.flyai.com/)\n- [BaiduAI竞赛](https://aistudio.baidu.com/aistudio/#/competition)\n- [DC竞赛](http://www.dcjingsai.com/static_page/cmpList.html)\n- [DataFountain竞赛](https://www.datafountain.cn/competitions)\n- [日本SIGNATE竞赛](https://signate.jp/competitions)\n- [Awesome-AI-competitions](https://github.com/HuangCongQing/AI_competitions)\n- [Driven Data](https://www.drivendata.org/competitions/)\n- [CrowdANALYTIX](https://www.crowdanalytix.com/community)\n- [CodaLab](https://competitions.codalab.org/)\n- [Analytics Vidhya](https://datahack.analyticsvidhya.com/?utm_source=main-logo)\n- [crowdAI](https://www.crowdai.org/challenges)\n- [Data Science Challenges](https://www.datasciencechallenge.org/)\n  \n---\n\n## Others\n- Awesome Resume for Chinese [Github](https://github.com/dyweb/awesome-resume-for-chinese)\n- 个人简历模板 [Github](https://github.com/ikym/resume)\n- 程序员简历模板系列 [Github](https://github.com/geekcompany/ResumeSample)\n- 如何写一份专业的技术简历 [Website](https://mp.weixin.qq.com/s?__biz=MzA5NDk4NDcwMw==\u0026mid=2651388719\u0026idx=1\u0026sn=84ec4d342f85199b7f4dd5bdaa535949\u0026chksm=8bba1bbfbccd92a9425c7dd0efdf4924c0308bb62ee6808f202c7a8f52fd6b78e43ed954bbb9\u0026scene=0\u0026xtrack=1\u0026key=ff1b1d089c15295c18c4772c5513870b3f444ddfc7eedefb34d50858e7be4c2d678cac2b24aa0356f577aa7c34a5bacdfdcac62bace0a0b7ec262694292724fd25f4c1ec3d115ad041ea0fc899723239\u0026ascene=14\u0026uin=MTM2NDUyMTkxOQ%3D%3D\u0026devicetype=Windows+10\u0026version=62070158\u0026lang=zh_CN\u0026exportkey=AzjSleucIgNxHjJEKgZIQkc%3D\u0026pass_ticket=isK%2FwATeORDKA144xaM2%2FZkXRQIChncFMP25btSedNMCRsZBUEgl7YxoVEFxq8eQ)\n- awesome-interview-questions [Github](https://github.com/MaximAbramchuck/awesome-interview-questions)\n- Startups about artificial intelligence. (DM, ML, NLP, CV...) [Github](https://github.com/lipiji/AIStartups)\n- Awesome Programming Books [Github](https://github.com/majikarp/awesome-programming-books#id-section2)\n- 清华大学计算机系课程攻略 [Github](https://github.com/PKUanonym/REKCARC-TSC-UHT)\n- 北京大学课程资料整理 [Github](https://github.com/lib-pku/libpku)\n- 中国科学技术大学课程资源 [Github](https://github.com/USTC-Resource/USTC-Course)\n- 上海交通大学课程资料分享 [Github](https://github.com/CoolPhilChen/SJTU-Courses/)\n- 浙江大学课程攻略共享计划 [Github](https://github.com/QSCTech/zju-icicles)\n\n\n\n\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/murufeng%2Fawesome-ai-algorithm/projects"}