# Awesome-algorithm-interview
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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
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# 目录
- 算法工程师 (opens new window)
- 机器学习 (opens new window)
- 深度学习 (opens new window)
- C/C++ (opens new window)
- Python (opens new window)
- 竞赛/比赛 (opens new window)
- 简历模板 (opens new window)
- 其它 (opens new window)
# Algorithm Engineer
# 1. Github
- 算法/深度学习/NLP面试笔记 Github (opens new window)
- 算法工程师面试 Github (opens new window)
- 2019届秋招面经集合 Github (opens new window)
- 技术面试必备基础知识 Github (opens new window)
- AI算法岗求职攻略 Github (opens new window) (amusi) (opens new window)
- 面向视觉算法开发者的极市社区,微信公众号:极市平台CVMart Github (opens new window)
- 阿里、腾讯、百度、华为、京东、搜狗和滴滴最新面试题汇集 Github (opens new window)
- 「面试算法练级攻略」-「LeetCode题解」-「剑指offer题解」 Github (opens new window)
- MVision-awesome Github (opens new window)
- 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 (opens new window)
- Daily Interview Github (opens new window)
- 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 (opens new window)
- CV岗常见面试题 Github (opens new window)
- 计算机视觉算法岗知识点及面试问答汇总 Github (opens new window)
- awesome-computer-vision Github (opens new window)
- 互联网公司leetcode题目 Github (opens new window)
# 2. Nowcoder
- 旷视19届春招-算法研究员-凉经 nowcoder (opens new window)
- 腾讯算法实习面试总结 nowcoder (opens new window)
- 春招详细算法面经(旷视/海康/联影等8家公司Offer) nowcoder (opens new window)
- 普通的算法/机器学习面经 nowcoder (opens new window)
- 20届-视觉算法-暑期实习 nowcoder (opens new window)
- 字节跳动实习算法岗面经 nowcoder (opens new window)
- 阿里腾讯虎牙机器学习算法面经 nowcoder (opens new window)
- 字节跳动图形图像算法实习面经 nowcoder (opens new window)
- 拼多多算法实习生面经 nowcoder (opens new window)
- 算法岗面经传送门 nowcoder (opens new window)
- 面经(腾讯AI Lab,阿里达摩院,华为等公司大集合) nowcoder (opens new window)
- cv岗面经 nowcoder (opens new window)
- 小菜鸡的算法实习面经 nowcoder (opens new window)
- 机器学习/算法校招面试考点汇总 nowcoder (opens new window)
- 计算机视觉暑期实习面经 nowcoder (opens new window)
- 算法岗面经(阿里云,1,2,3,交叉,hr面) nowcoder (opens new window)
- 春招实习面经(cv算法岗) nowcoder (opens new window)
- 双非本硕算法陪跑面经 nowcoder (opens new window)
- 2018春招科大讯飞,华为,神策数据,今日头条面经 nowcoder (opens new window)
- 2020届渣硕春招实习总结-算法岗(计算机视觉) nowcoder (opens new window)
- 爱奇艺深度学习算法实习生面经 nowcoder (opens new window)
- 阿里,旷视,亚马逊,谷歌面经 nowcoder (opens new window)
- 算法菜鸟的春招之路 nowcoder (opens new window)
- 机器学习算法面经(腾讯阿里网易) nowcoder (opens new window)
- 实习算法岗血泪面经,商汤,旷世,阿里,字节跳动 nowcoder (opens new window)
- 机器学习/数据挖掘岗2019秋招总结 nowcoder (opens new window)
- 算法面经(阿里、腾讯、美团等) nowcoder (opens new window)
- 春招秋招算法机器学习岗面经(阿里、腾讯、美团、携程) nowcoder (opens new window)
- 春招(附面经) nowcoder (opens new window)
- 计算机视觉算法岗面经 nowcoder (opens new window)
- 机器学习算法面经---2018秋招 nowcoder (opens new window)
- 阿里&腾讯春招算法面经 nowcoder (opens new window)
- 阿里暑期实习六面面经 nowcoder (opens new window)
- 计算机视觉算法岗面经 nowcoder (opens new window)
- 阿里 达摩院 cv 算法 面经 nowcoder (opens new window)
- 算法工程师面经 寒拼蘑腾作网网3 附答案 nowcoder (opens new window)
- 搜狗算法面经 nowcoder (opens new window)
- 商汤20校招CV算法研究员面经(三面+HR面) nowcoder (opens new window)
- 作业帮/寒武纪/商汤/科大讯飞面经 nowcoder (opens new window)
- 面经 | 腾讯/百度/字节跳动/拼多多/华为/美团/寒武纪/虎牙等 nowcoder (opens new window)
- 算法秋招上岸了,大家加油,我先撤了(附所有面经) nowcoder (opens new window)
- 秋招小结:感受+面经(CV算法岗) nowcoder (opens new window)
- 面经(腾讯AI Lab,阿里达摩院,华为等公司大集合) nowcoder (opens new window)
- 秋招小结:感受+面经(CV算法岗) - 09.07 nowcoder (opens new window)
- 阿里巴巴达摩院 CV 四轮算法面经 nowcoder (opens new window)
- 秋招小结:感受+面经(CV算法岗)- 09.26 nowcoder (opens new window)
- 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 (opens new window)
- 秋招 | 谷歌,微软,阿里,腾讯,百度等算法岗 nowcoder (opens new window)
- 微软、Hulu、Amazon、腾讯、百度、网易、美团、华为等18家公司SP Offer面经 nowcoder (opens new window)
- 面经 | 商汤科技计算机视觉岗【二面】 nowcoder (opens new window)
- 面经 | 阿里巴巴达摩院 CV 四轮算法面经 nowcoder (opens new window)
- 面经 | 百度、美团、拼多多、寒武纪等互联网大厂面试经验 nowcoder (opens new window)
- 面经 | 旷视科技算法研究员面经 nowcoder (opens new window)
- 18家算法面经汇总 nowcoder (opens new window)
- 一个双非渣硕的自我救赎之路 nowcoder (opens new window)
- 算法面经 | 微软/阿里/百度/字节跳动/华为/OPPO nowcoder (opens new window)
# 3. Zhihu
- 算法工程师必须要知道的面试技能雷达图 zhihu (opens new window)
- 做计算机视觉的你,如何拿到大厂的Offer的?可否分享下? zhihu (opens new window)
- 字节跳动计算机视觉算法实习生视频面试 zhihu (opens new window)
- 2019秋招算法面经 zhihu (opens new window)
- CVTE视觉计算岗实习面经 zhihu (opens new window)
- 互联网公司最常见的面试算法题有哪些? zhihu (opens new window)
- 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 (opens new window)
- 校招-基础算法图像处理算法 zhihu (opens new window)
- 深度学习算法工程师面经 zhihu (opens new window)
# 4. Blog
- AI算法工程师手册 Blog (opens new window)
- 小米面试总结 Blog (opens new window)
- 百度/商汤AI面试 CSDN (opens new window)
- 算法校招经验总结(百度,阿里巴巴,腾讯,今日头条) CSDN (opens new window)
- CV计算机论文速览 CSDN (opens new window)
- 海外小硕的国内面试经历 CSDN (opens new window)
- 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 (opens new window)
- AI 研习社职荐专区 AI求职百题斩 (opens new window) 面经 (opens new window) website (opens new window)
- 算法与数据结构、机器学习、深度学习 Blog (opens new window)
# 5. WeChat
- 阿里巴巴计算机视觉算法实习生视频面试 website (opens new window)
- 面试经验AI算法工程师(面试官角度) website (opens new window)
- 从零基础到BAT算法岗SP——秋招准备攻略 website (opens new window)
- 蚂蚁金服/旷视/虹软/腾讯优图暑期实习offer面经 website (opens new window)
- 我在美团的这两年(附校招笔试/面试/面经分享) website (opens new window)
- 1000 面试题,BAT 机器学习面试刷题宝典! website (opens new window)
- 如何拿到自己满意的offer? website (opens new window)
- 机器学习与深度学习常见面试题(上) website (opens new window)
- 机器学习与深度学习常见面试题(下) website (opens new window)
- 完备的 AI 学习路线,最详细的资源整理! website (opens new window)
- 蚂蚁金服面经(已拿 Offer) website (opens new window)
- 30家企业海投,10余家offer,我的漫漫秋招之旅 website (opens new window)
- BAT 三连挂是什么体验?硕士小姐姐讲述心酸血泪史! website (opens new window)
- 数据科学&机器学习基础面试题 website (opens new window)
- 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 (opens new window)
- 面经 | 挂两次腾讯面试的春招教训 website (opens new window)
- Face++公司 - 两轮技术面试面经 website (opens new window)
- 秋招面经 | 旷视科技算法岗秋招面试经验分享 website (opens new window)
- 面经+经验分享|2019秋招算法岗复盘 website (opens new window)
- 专科生阿里大数据一面面经(已过) website (opens new window)
- 2019秋招算法岗复盘 website (opens new window)
- 我面试了10家算法公司,这是我能记住的所有问题 website (opens new window)
- 计算机视觉算法工程师(旷视、商汤、智云、海康)面试总结 website (opens new window)
- 秋招面经 | 滴滴20校招CV算法岗面试经验分享(三面) website (opens new window)
- 八家国企大数据面经(干货,详细答案) website (opens new window)
- 秋招经历(已收到百度、阿里、腾讯、美团、京东、拼多多的 offer) website (opens new window)
- 10大机器学习Q&A,面试必知! website (opens new window)
- 机器学习常见算法优缺点总结! website (opens new window)
- 2019秋招AI算法岗复盘 website (opens new window)
- 秋招面验 | 计算机视觉汇总面经分享 website (opens new window)
- 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 (opens new window)
- 2019 秋招总结(算法工程师,非科班,已拿 6+offer,最后选择pdd) website (opens new window)
- 专科生作业帮大数据面经(已拿offer,附详细答案) website (opens new window)
- 美团+阿里 | 机器学习算法春招面经 website (opens new window)
- 13个offer,8家SSP,谈谈我的秋招经验 website (opens new window)
- 字节跳动 | 算法面试复盘 website (opens new window)
- 机器学习算法面经(腾讯阿里网易) website (opens new window)
# 6. Others
- 廖雪峰AI面试资料 BaiduYun (opens new window) ps:uzj9
- Solutions to Introduction to Algorithms Github (opens new window)
- CV 领域论文常见单词 zhihu (opens new window)
- CV 领域Paper论文常见单词 zhihu (opens new window)
# Machine Learning
# 1. Interview
- 机器学习面试算法梳理 Blog (opens new window)
- 面试官如何判断面试者的机器学习水平 zhihu (opens new window)
- machine-learning-interview-questions Github (opens new window)
- 机器学习与深度学习面试问题总结 Blog (opens new window)
- 机器学习面试复习资源 Github (opens new window)
# 2. Documentation
- Your new Mentor for Data Science E-Learning Github (opens new window)
- 王斌老师翻译的<机器学习实战>书python代码实现 Github (opens new window)
- PRML(python) Github (opens new window)
- 李航博士<统计学习方法>一书中所有算法python实现 Github (opens new window)
- <统计学习方法>第二版的代码实现 Github (opens new window)
- <机器学习>(西瓜书)公式推导解析 Github (opens new window)
- <数据科学实战>书代码 Github (opens new window)
- 机器学习实战(Python3) Github (opens new window)
- 吴恩达讲授的机器学习 Coursera (opens new window) 163 (opens new window)
- Solutions to Introduction to Algorithms Third Edition Github (opens new window)
- Data-Science--Cheat-Sheet Github (opens new window)
- Data Science Crash Course Github (opens new window)
- List of Data Science Cheatsheets to rule the world Github (opens new window)
- Your new Mentor for Data Science E-Learning. Github (opens new window)
- Python3 入门机器学习 Github (opens new window)
- DrWhy is the collection of tools for Explainable AI (XAI) Github (opens new window)
- Fit interpretable models. Explain blackbox machine learning. Github (opens new window)
- 李宏毅《机器学习》笔记 Github (opens new window)
- 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 (opens new window)
- 周志华《机器学习》手推笔记 Github (opens new window)
- 《Python 机器学习》 Github (opens new window)
- A Brief Introduction to Machine Learning for Engineers Github (opens new window)
- 【斯坦福】凸优化圣经- Convex Optimization Github (opens new window)
# 3. Code
- 机器学习算法python实现 Github (opens new window)
- 100-Days-Of-ML-Code中文版 Github (opens new window)
- Homemade Machine Learning Github (opens new window)
- Python codes for common Machine Learning Algorithms Github (opens new window)
- Machine-Learning-Study-Path-March-2019 Github (opens new window)
- The best resources in Machine Learning & AI Github (opens new window) Website (opens new window)
- AiLearning- ML、深度学习 Github (opens new window)
- A Machine Learning Course with Python Github (opens new window)
- Machine learning, in numpy Github (opens new window)
- A complete computer science study plan to become a software engineer. Github (opens new window)
# Deep Learning
注:百度 “如何使用google免费gpu” ,每个人单卡14G Telsa T4,需要科学上网 (opens new window)
# 1. Interview
- 深度学习面试问题 Github (opens new window)
- 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 (opens new window)
- Deep Learning Interview 深度学习面试题目汇总 Github (opens new window)
- 深度学习面试要点总结(面试题) zhihu (opens new window)
- 自己整理的一点和深度学习相关的面试考点 zhihu (opens new window)
# 2. Documentation
- 图解人工智能 Github (opens new window)
- 机器学习资源汇总(课程、教材、教程、笔记、速查等) website (opens new window)
- awesome-deep-learning Github (opens new window)
- Explaining the Math of how neural networks learn Github (opens new window)
- (微软) AI-神经网络基本原理简明教程 Github (opens new window)
- Deep-Learning-Papers-Reading-Roadmap Github (opens new window)
- 深度学习500问 Github (opens new window)
- 神经网络讲解视频 YouTube (opens new window) bilibili (opens new window)
- five-days deep learning website (opens new window) Github (opens new window)
- 深度神经网络中的一些模型进行统一的图示 Github (opens new window)
- 深度学习手册 BaiduYun (opens new window) pw:dy6h
- An educational resource to help anyone learn deep reinforcement learning Github (opens new window)
- Technical Notes On Using Data Science & Artificial Intelligence website (opens new window)
- deep-learning-drizzle Github (opens new window)
- 邱锡鹏<神经网络与深度学习> Github书 (opens new window) Github示例代码 (opens new window) Github课程练习 (opens new window)
- 伯克利课程 <动手学深度学习> Github (opens new window) 课程主页 (opens new window) bilibili (opens new window) 课件和习题 (opens new window) 英文版 (opens new window) 中文版 (opens new window) PyTorch 版 (opens new window)
- <深度学习理论与实战:提高篇> Github (opens new window)
- 神经网络和深度学习的在线书籍 website (opens new window) chinese (opens new window)
- 花书 Deep Learning 中文版 Github (opens new window)
- 《深度学习》圣经花书的数学推导、原理与Python代码实现 Github (opens new window)
- 《Python深度学习算法实战(TensorFlow)》随书代码 Github (opens new window)
- 《Python深度学习》书籍 Github (opens new window)
- 用Python实现"Pattern Recognition and Machine Learning”里的算法 Github (opens new window)
- Awesome_Computer_Vision Github (opens new window)
- 计算机视觉知识点总结 zhihu (opens new window)
- Learn_Computer_Vision Github (opens new window)
- pyimagesearch Website (opens new window)
- 机器学习/计算机视觉/ NLP的论文及笔记 Github (opens new window)
- Open AI Blog website (opens new window)
- Distill Blog website (opens new window)
- BAIR 博客 website (opens new window)
- DeepMind 博客 website (opens new window)
- Andrej Karpathy的博客 website (opens new window)
- Christopher Olah的博客 website (opens new window)
- WildML Blog website (opens new window)
- Ruder的博客 website (opens new window)
- FAIR博客 website (opens new window)
- inFERENCe Blog website (opens new window)
- Andrew Trask的博客 website (opens new window)
- Graduate Descent Blog website (opens new window)
- Adit Deshpande的博客 website (opens new window)
- createmomo的博客 website (opens new window)
- ML/DL学习笔记(基础+论文) Github (opens new window)
- 微软人工智能教育与学习共建社区 Github (opens new window)
- 图神经网络导论,清华大学刘知远老师著作 website (opens new window)
- 深度学习视觉系统,Deep Learning for Vision Systems website (opens new window)
- 计算机视觉colab notebook列表 website (opens new window)
# 3. Pytorch Code
- pytorch Github (opens new window) Website (opens new window)
- Offical pytorch examples Github (opens new window)
- Offical pytorch tutorials Github (opens new window)
- stanford-cs-230-deep-learning Github (opens new window)
- practicalAI Github (opens new window)
- PyTorch中文手册 Github (opens new window)
- PyTorch中文版官方教程 Website (opens new window)
- <深度学习框架PyTorch:入门与实践>的对应代码 Github (opens new window)
- code-of-learn-deep-learning-with-pytorch Github (opens new window)
- Awesome-pytorch-list Github (opens new window)
中配套代码 [Github](https://github.com/tensor-yu/PyTorch_Tutorial) - An unofficial styleguide and best practices summary for PyTorch Github (opens new window)
- fast.ai Computational Linear Algebra course Github (opens new window)
- Awesome-PyTorch-Chinese Github (opens new window)
- Build-an-AI-Startup-with-PyTorch Github (opens new window)
- First steps towards Deep Learning with pyTorch Github (opens new window)
- Fastai 深度学习实战'Practical Deep Learning for Coders, v3' website (opens new window) website (opens new window)
- Fast.ai 'Deep Learning from the Foundations' website (opens new window)
- 全栈深度学习训练营(课程视频)'Full Stack Deep Learning Bootcamp' Github (opens new window) bilibili (opens new window) website (opens new window)
- PyTorch 资源大列表中文版 Github (opens new window) Github汉化 (opens new window)
- pytorch-lightning Github (opens new window)
- Fast.ai 2.0中英字幕版 bilibili (opens new window)
# 4. Tensorflow Code
- TensorFlow-From-Zero-To-One Github (opens new window)
- tensorflow2中文教程 Github (opens new window)
- Tensorflow2教程 Github (opens new window)
- Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2 Github (opens new window)
- TensorFlow 中文资源全集 Gitee (opens new window)
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course Github (opens new window)
- TensorFlow 2.0 深度学习开源书 Github (opens new window)
- deeplearning.ai TensorFlow实践课程'TensorFlow in Practice' website (opens new window)
- TensorFlow 2.0初学者教程 bilibili (opens new window)
- 30天吃掉那只 TensorFlow2 Github (opens new window)
- TensorFlow2.0 官方教程翻译 Github (opens new window)
- 《动手学深度学习》TensorFlow 2.0实现 Github (opens new window)
# 5. Online Course
- 人工智能课程列表:斯坦福、MIT、UC Berkeley等顶校的开放式深度学习和强化学习课程 Github (opens new window)
- 斯坦福CS231n李飞飞计算机视觉 网易云课堂 (opens new window)
- CS 231n进阶版 Youtube (opens new window)
- 计算机视觉基础入门课程(从算法到实战应用) AI研习社 (opens new window)
- 微软-计算机视觉最佳实践、代码示例和相关文档 Github (opens new window)
- Deep Learning: Advanced Computer Vision udemy (opens new window)
- Computer Vision Certification by NYU coursera (opens new window)
- Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs udemy (opens new window)
- 2018 MIT 6.S094 麻省理工深度学习和自动驾驶课程 AI研习社 (opens new window)
- 卡耐基梅隆大学 2018 秋季《深度学习导论》 AI研习社 (opens new window)
- Convolutional Neural Networks coursera (opens new window)
- 吴恩达 深度学习工程师 网易云课堂 (opens new window)
- 吴恩达的深度学习专项系列(Deep Learning Specialization) Coursera (opens new window) 163 (opens new window)
- CS188伯克利<人工智能导论>课程'BerkeleyX: CS188.1x Artificial Intelligence' bilibili (opens new window) website (opens new window)
- CS230斯坦福深度学习课程(2018 年秋)'CS230: Deep Learning | Autumn 2018' bilibili (opens new window) youtube (opens new window)
- CS 330: Deep Multi-Task and Meta Learning website (opens new window)
- TensorFlow: Data and Deployment 专项课程 coursera (opens new window)
- MIT《深度学习导论》课程(2020) bilibili (opens new window)
- 北京大学高等深度学习课程 Github (opens new window)
- 慕尼黑工业大学《高级深度学习》课程 website (opens new window)
- 伯克利课程:深度无监督学习(2020) bilibili (opens new window)
- CMU课程:深度学习导论(Spring 2020) bilibili (opens new window)
- 纽约大学《深度学习(PyTorch)》课程(2020) bilibili (opens new window)
- 《应用机器学习》2020(哥伦比亚大学) bilibili (opens new window)
- 台大《应用深度学习》国语课程(2020) bilibili (opens new window)
- MIT课程《计算系统生物学:生命科学中的深度学习》(2020) bilibili (opens new window)
- 陈蕴侬 应用深度学习'107 Spring - Applied Deep Learning, Taiwan University' bilibili (opens new window) website (opens new window)
- DeepMind 强化学习导论'Introduction to Reinforcement Learning' bilibili (opens new window) youtube (opens new window)
- UC伯克利最新深度强化学习课程 website (opens new window) YouTube (opens new window) bilibili (opens new window) Github (opens new window)
- 统计机器学习 网易云课堂 (opens new window)
- 机器学习导论 网易云课堂 (opens new window)
- 斯坦福 机器学习课程'Machine Learning(Coursera)' coursera (opens new window)
- 复旦大学机器学习 bilibili (opens new window)
- 复旦大学深度学习 bilibili (opens new window)
- MIT Python机器学习课程'Machine Learning with Python-From Linear Models to Deep Learning' website (opens new window)
- 台大林轩田老师<机器学习基石>课程 bilibili (opens new window)
- 台大林轩田老师课程<机器学习技法>课程 bilibili (opens new window)
- NTU大学李宏毅最新机器学习课程(2019) website (opens new window)
- 斯坦福 概率和统计'Probability and Statistics' website (opens new window)
- MIT 线性代数'Linear Algebra' website (opens new window)
- 斯坦福 概率图模型专项课程'Probabilistic Graphical Models Specialization(Coursera)' coursera (opens new window)
- 北欧概率AI学校课程资料 Github (opens new window)
- 斯坦福CS224U自然语言理解课程'CS224U:Natural Language Understanding' website (opens new window)
- CS224n 斯坦福深度自然语言处理课 AI研习社 (opens new window)
- 李宏毅《深度学习人类语言处理》国语 (2020) bilibili (opens new window)
- 美国计算机名校例如MIT ,CMU ,有哪些公认的好课并且有课程讲义的,适合国内学生自学的? zhihu (opens new window)
- 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 (opens new window)
# C/C++
- C/C++面试基础知识总结 Github (opens new window)
- 常见C++笔试面试题整理 zhihu (opens new window)
- C/C++问题总结 Github (opens new window)
- Leetcode 题解代码仓(C++) Github (opens new window)
- LeetCode, HackRank, 剑指offer, classic algorithm implementation (C++) Github (opens new window)
- Data Structure and Algorithm notes数据结构与算法/leetcode/lintcode题解 Github (opens new window)
- learnOpencv Github (opens new window)
- Solutions to Introduction to Algorithms Third Edition Github (opens new window) Blog (opens new window)
- LeetCode动画 Github (opens new window)
- leetcode题解,记录自己的leetcode解题之路 Github (opens new window)
- 剑指offer第二版 BaiduYun (opens new window)
- <算法导论>的C++实现代码 Github (opens new window)
- 数据结构和算法必知必会的50个代码实现 Github (opens new window)
- Play Leetcode with different Programming language Github (opens new window)
- leetcode Github (opens new window)
- algorithm-visualizer Github (opens new window)
- 基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像 Github (opens new window)
- LeetCode solutions in C++ 11 and Python3 Github (opens new window)
- 手把手撕LeetCode题目 Github (opens new window)
- 面试高频算法题总结,个人博客 Github (opens new window)
- Algorithm for Interview(面试算法笔记-中文) Github (opens new window)
- leetcode 1~400知识点&题型总结&leetcode对应题表 Github (opens new window)
- C++解决问题第七版 Website (opens new window)
- LeetCode All In One Github (opens new window)
- fucking-algorithm Github (opens new window)
- LeetCode in Go Github (opens new window)
# Python
- 关于Python的面试题1 Github (opens new window)
- 关于Python的面试题2 Github (opens new window)
- LeetCode, HackRank, 剑指offer, classic algorithm implementation (Python) Github (opens new window)
- 剑指offer(python版)/ 算法图解 / python基础 / 数据结构 Github (opens new window)
- 算法面试题python Github (opens new window)
- All Algorithms implemented in Python Github (opens new window)
- Improve your Python by fixing errors Github (opens new window)
- wtfpython的中文翻译 Github (opens new window)
- 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 (opens new window)
- Python面试都在这里了【315+道题】 Blog (opens new window)
- The Beauty of Python Programming Github (opens new window)
- Python - 100天从新手到大师 Github (opens new window)
- 在 Windows 上使用 Python 进行开发 Blog (opens new window)
- A curated list of awesome Python frameworks, libraries, software and resources Github (opens new window)
- c9-python-getting-started Github (opens new window)
- 编程超能力入门班 Blog
- Just Code ! 针对面试训练算法题 Github (opens new window)
- 和小浩学算法 Github (opens new window)
# Competition
- kaggle数据科学竞赛 (opens new window)
- 阿里云天池比赛 (opens new window)
- AI Challenger (opens new window)
- 和鲸HeyWhale/科赛AI竞赛平台 (opens new window)
- FlyAI竞赛平台 (opens new window)
- BaiduAI竞赛 (opens new window)
- DC竞赛 (opens new window)
- DataFountain竞赛 (opens new window)
- 日本SIGNATE竞赛 (opens new window)
- Awesome-AI-competitions (opens new window)
- Driven Data (opens new window)
- CrowdANALYTIX (opens new window)
- InnoCentive (opens new window)
- TunedIT Challenges (opens new window)
- CodaLab (opens new window)
- Analytics Vidhya (opens new window)
- crowdAI (opens new window)
- Data Science Challenges (opens new window)
- HackerRank (opens new window)
- TopCoder (opens new window)
- Geekforgeeks (opens new window)
- Leetcode (opens new window)
- Daily Coding Problem (opens new window)
- Exercism.io (opens new window)
# Resume Template
- Awesome Resume for Chinese Github (opens new window)
- AI算法岗简历模板 Github (opens new window)
- 个人简历模板 Github (opens new window)
- 程序员简历模板系列 Github (opens new window)
- 如何写一份专业的技术简历 Website (opens new window)
# Others
- 国内外优秀的计算机视觉团队汇总 CSDN (opens new window)
- 国内各大城市提供计算机视觉(CV)算法岗的公司名单 Github (opens new window)
- 清华大神的计算机自学笔记 Github (opens new window)
- 专为程序员编写的英语学习指南 Github (opens new window)
- awesome-interview-questions Github (opens new window)
- Startups about artificial intelligence. (DM, ML, NLP, CV...) Github (opens new window)
- Awesome Programming Books Github (opens new window)
- 计算机速成课(全40集) Github (opens new window)
- 清华大学计算机系课程攻略 Github (opens new window)
- 北京大学课程资料整理 Github (opens new window)
- 中国科学技术大学课程资源 Github (opens new window)
- 上海交通大学课程资料分享 Github (opens new window)
- 浙江大学课程攻略共享计划 Github (opens new window)
- 中国科学院大学研一课程课件共享项目 Github (opens new window)
- 计算机基础(计算机网络/操作系统/数据库/Git...)面试问题全面总结 Github (opens new window)
- 编程竞赛 OI Wiki Github (opens new window)
- A complete computer science study plan to become a software engineer. Github (opens new window)
- Curated list of resources for college students Github (opens new window)
- Best Paper Awards in Computer Science (since 1996) website (opens new window)
- Everything you need to know to get the job Github (opens new window)
- Everything you need to prepare for your technical interview Github (opens new window)
- Materials to help you rock your next coding interview Github (opens new window)
- Study materials for SE/CS technical interviews Github (opens new window)
- coding interview university Github (opens new window)
- studytonight website (opens new window)
- udacity website
- tutorialspoint website (opens new window)
- classcentral website (opens new window)
- nptel website (opens new window)
- codescracker website (opens new window)
- homepage website (opens new window)
- computer.howstuffworks website (opens new window)
- tldp website (opens new window)