机器学习、深度学习、算法工程师等 AI 相关岗位面试需要知识
机器学习、深度学习、算法工程师等 AI 相关岗位面试需要知识
本资源整理了机器学习、深度学习、算法工程师等 AI 相关岗位面试需要知识点，常见代码实战（分为 C/C++和 python 版本）、常见问题，简历模板、比赛/竞赛相关的资源，分享给需要的朋友。
注：百度 “如何使用 google 免费 gpu” ，每个人单卡 14G Telsa T4，需要访问外国网站
https://github.com/getlantern/lantern
1. 面试
深度学习面试问题
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
https://github.com/HarleysZhang/2019_algorithm_intern_information
Deep Learning Interview 深度学习面试题目汇总
https://github.com/ShanghaiTechAIClub/DLInterview
深度学习面试要点总结(面试题)
https://zhuanlan.zhihu.com/p/62935978
深度学习相关的面试考点
https://zhuanlan.zhihu.com/p/48374690
2. 资料
图解李金洪的《深度学习之TensorFlow 入门、原理与进阶实战》
计算机视觉知识点总结
https://zhuanlan.zhihu.com/p/58776542
图解人工智能
https://okai.brown.edu/zh/index.html
awesome-deep-learning
https://github.com/ChristosChristofidis/awesome-deep-learning
深度学习 500 问
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>
https://github.com/nndl/nndl.github.io
https://github.com/nndl/nndl-codes
https://github.com/nndl/exercise
伯克利课程 <动手学深度学习>
http://courses.d2l.ai/berkeley-stat-157/
https://space.bilibili.com/209599371/channel/detail?cid=23541
https://github.com/dsgiitr/d2l-pytorch
Awesome_Computer_Vision
https://github.com/ahong007007/awesomeCV
Deep-Learning-Papers-Reading-Roadmap
https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
神经网络讲解视频
https://youtu.be/aircAruvnKk?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
https://space.bilibili.com/88461692/#%22
神经网络和深度学习的在线书籍
http://neuralnetworksanddeeplearning.com/
花书 Deep Learning 中文版
https://github.com/exacity/deeplearningbook-chinese
Open AI blog
Distill blog
BAIR 博客
https://bair.berkeley.edu/blog/
DeepMind 博客
https://deepmind.com/blog?category=research
Andrej Karpathy 的博客
Christopher Olah 的博客
WildML Blog
Ruder 的博客
FAIR 博客
inFERENCe Blog
Andrew Trask 的博客
Graduate Descent Blog
http://timvieira.github.io/blog/
Adit Deshpande 的博客
https://adeshpande3.github.io/
createmomo 的博客
ML/DL 学习笔记（基础+论文）
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
https://github.com/weslynn/AlphaTree-graphic-deep-neural-network
five-days deep learning website
https://github.com/mlelarge/dataflowr
Learn_Computer_Vision
https://github.com/llSourcell/Learn_Computer_Vision
Explaining the Math of how neural networks learn
https://github.com/omar-florez/scratch_mlp
(微软) AI-神经网络基本原理简明教程
https://github.com/microsoft/ai-edu/tree/master/
深度学习手册
https://pan.baidu.com/share/init?surl=ew3aVZizVkPVKUFx2AtDjw
提取码:dy6h
An educational resource to help anyone learn deep reinforcement learning
https://github.com/openai/spinningup
Technical Notes On Using Data Science & Artificial Intelligence
微软人工智能教育与学习共建社区
https://github.com/microsoft/ai-edu
3.代码实战 Pytorch
pytorch
https://github.com/pytorch/pytorch
Offical pytorch examples
https://github.com/pytorch/examples
Offical pytorch tutorials
https://github.com/pytorch/tutorials
stanford-cs-230-deep-learning
https://github.com/afshinea/stanford-cs-230-deep-learning
PyTorch 中文手册
https://github.com/zergtant/pytorch-handbook
<深度学习框架 PyTorch：入门与实践>的对应代码
https://github.com/chenyuntc/pytorch-book
code-of-learn-deep-learning-with-pytorch
https://github.com/L1aoXingyu/code-of-learn-deep-learning-with-pytorch
Awesome-pytorch-list
https://github.com/L1aoXingyu/code-of-learn-deep-learning-with-pytorch
<Pytorch 模型训练实用教程>中配套代码
https://github.com/TingsongYu/PyTorch_Tutorial
An unofficial styleguide and best practices summary for PyTorch
https://github.com/IgorSusmelj/pytorch-styleguide
fast.ai Computational Linear Algebra course
https://github.com/fastai/numerical-linear-algebra
Awesome-PyTorch-Chinese
https://github.com/INTERMT/Awesome-PyTorch-Chinese
Build-an-AI-Startup-with-PyTorch
https://github.com/llSourcell/Build-an-AI-Startup-with-PyTorch
First steps towards Deep Learning with pyTorch
https://github.com/vaibhawvipul/First-steps-towards-Deep-Learning
4.代码实战 Tensorflow
代码医生工作室 李金洪《深度学习之TensorFlow 工程化项目实战》配套代码
https://github.com/aianaconda/TensorFlow_Engineering_Implementation
都在关心TensorFlow2.0，那么我手里的1.x程序怎么办？
TensorFlow-From-Zero-To-One
https://github.com/amusi/TensorFlow-From-Zero-To-One
tensorflow2 中文教程
https://github.com/czy36mengfei/tensorflow2_tutorials_chinese
Tensorflow2 教程
https://zhuanlan.zhihu.com/c_1091021863043624960
Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow
2
https://github.com/ageron/handson-ml2
TensorFlow 中文资源全集
https://gitee.com/fendouai/Awesome-TensorFlow-Chinese
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
https://github.com/ageron/tf2_course
5.网课
代码医生工作室 李金洪 北京邮电大学公开课 2018 2019
代码医生工作室 李金洪 《python带我起飞—入门、进阶、商业实战》图书视频
https://www.aianaconda.com/index/BookVideoPython
代码医生工作室 李金洪 《深度学习之TensorFlow—入门、原理与进阶实战》图书视频
https://www.aianaconda.com/index/BookVideo
统计机器学习
机器学习导论
吴恩达 深度学习工程师
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）
卡耐基梅隆大学 2018 秋季《深度学习导论》
2018 MIT 6.S094 麻省理工深度学习和自动驾驶课程
Deep Learning: Advanced Computer Vision
https://www.udemy.com/advanced-computer-vision/
Computer Vision Certification by State University of New York
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
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)
https://www.coursera.org/specializations/deep-learning
CS231n
CS224n
http://web.stanford.edu/class/cs224n/
斯坦福公开课程：概率和统计'Probability and Statistics'
https://online.stanford.edu/courses/gse-yprobstat-probability-and-statistics
MIT 公开课线性代数'Linear Algebra'
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
https://www.bilibili.com/video/av41718196/
斯坦福机器学习课程'Machine Learning(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)'
https://www.coursera.org/specializations/probabilistic-graphical-models
DeepMind 强化学习导论课程'Introduction to Reinforcement Learning'
https://www.bilibili.com/video/av24060851/
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'
https://github.com/full-stack-deep-learning/fsdl-text-recognizer-project
https://www.bilibili.com/video/av49643298
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)'
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'
https://www.bilibili.com/video/av39489278/
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'
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'
https://www.bilibili.com/video/av47055599/
https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb
deeplearning.ai 上线的 TensorFlow 实践课程'TensorFlow in Practice'
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'
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'
http://web.stanford.edu/class/cs224u/index.html
陈蕴侬应用深度学习'107 Spring - Applied Deep Learning, Taiwan University'
https://www.bilibili.com/video/av46656764/
https://www.csie.ntu.edu.tw/~miulab/s107-adl/
台大林轩田老师<机器学习基石>课程
https://www.bilibili.com/video/av12463015/
台大林轩田老师课程<机器学习技法>课程
https://www.bilibili.com/video/av12469267/
NTU 大学李宏毅最新机器学习课程(2019)
http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML19.html
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？
https://www.zhihu.com/question/57532048
机器学习相关资料
1. 面试问题
机器学习面试算法梳理
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
https://www.zhihu.com/question/62482926
machine-learning-interview-questions
https://github.com/Sroy20/machine-learning-interview-questions
机器学习面试复习资源
https://github.com/wangyuGithub01/Machine_Learning_Resources
2. 资料
Your new Mentor for Data Science E-Learning
https://github.com/virgili0/Virgilio
王斌老师翻译的<机器学习实战>书 python 代码实现
https://github.com/wzy6642/Machine-Learning-in-Action-Python3
PRML(python)
李航博士<统计学习方法>一书中所有算法 python 实现
https://github.com/WenDesi/lihang_book_algorithm
<统计学习方法>第二版的代码实现
https://github.com/fengdu78/lihang-code
<机器学习>(西瓜书)公式推导解析
https://github.com/datawhalechina/pumpkin-book
<数据科学实战>书代码
https://github.com/oreillymedia/doing_data_science
机器学习实战(Python3)
https://github.com/Jack-Cherish/Machine-Learning
Solutions to Introduction to Algorithms Third Edition
https://github.com/walkccc/CLRS
Data-Science--Cheat-Sheet
https://github.com/abhat222/Data-Science--Cheat-Sheet
Data Science Crash Course
https://maria-antoniak.github.io/2018/11/19/data-science-crash-course.html
List of Data Science Cheatsheets to rule the world
https://github.com/FavioVazquez/ds-cheatsheets
Your new Mentor for Data Science E-Learning.
https://github.com/virgili0/Virgilio
Python3 入门机器学习
https://github.com/liuyubobobo/Play-with-Machine-Learning-Algorithms
DrWhy is the collection of tools for Explainable AI (XAI)
https://github.com/ModelOriented/DrWhy
Fit interpretable models. Explain blackbox machine learning.
https://github.com/jwasham/coding-interview-university
李宏毅《机器学习》笔记
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
https://github.com/NLP-LOVE/ML-NLP
周志华《机器学习》手推笔记
https://github.com/Sophia-11/Machine-Learning-Notes
3. 代码实战
机器学习算法 python 实现
https://github.com/lawlite19/MachineLearning_Python
100-Days-Of-ML-Code 中文版
https://github.com/MLEveryday/100-Days-Of-ML-Code
Homemade Machine Learning
https://github.com/trekhleb/homemade-machine-learning
Python codes for common Machine Learning Algorithms
https://github.com/susanli2016/Machine-Learning-with-Python
Machine-Learning-Study-Path-March-2019
https://github.com/virgili0/Virgilio
The best resources in Machine Learning & AI
https://github.com/RemoteML/bestofml
AiLearning- ML、深度学习
https://github.com/apachecn/AiLearning
A Machine Learning Course with Python
https://github.com/machinelearningmindset/machine-learning-course
Machine learning, in numpy
https://github.com/ddbourgin/numpy-ml
A complete computer science study plan to become a software engineer.
https://github.com/ddbourgin/numpy-ml
算法工程师相关资料
1. Github
算法工程师面试
https://github.com/PPshrimpGo/AIinterview
2019 届秋招面经集合
https://github.com/zslomo/2019-Autumn-recruitment-experience
技术面试必备基础知识
https://github.com/CyC2018/CS-Notes
AI 算法岗求职攻略
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
https://github.com/xiaole0310/interview-
「面试算法练级攻略」-「LeetCode 题解」-「剑指 offer 题解」
https://github.com/guokaide/algorithm
MVision-awesome
https://github.com/datawhalechina/Daily-interview
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
https://github.com/HarleysZhang/2019_algorithm_intern_information
Daily Interview
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
https://github.com/0voice/interview_internal_reference
2. 牛客网
旷视19 届春招-算法研究员-凉经
https://www.nowcoder.com/discuss/167336
腾讯算法实习面试总结
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)
https://www.nowcoder.com/discuss/163388
普通的算法/机器学习面经
https://www.nowcoder.com/discuss/61907
20 届-视觉算法-暑期实习
https://www.nowcoder.com/discuss/173292
字节跳动实习算法岗面经
https://www.nowcoder.com/discuss/178153
阿里腾讯虎牙机器学习算法面经
https://www.nowcoder.com/discuss/175759
字节跳动图形图像算法实习面经
https://www.nowcoder.com/discuss/174565
拼多多算法实习生面经
https://www.nowcoder.com/discuss/177911
算法岗面经传送门
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）
https://www.nowcoder.com/discuss/180087
cv 岗面经
https://www.nowcoder.com/discuss/159266
小菜鸡的算法实习面经
https://www.nowcoder.com/discuss/181770
机器学习/算法校招面试考点汇总
https://www.nowcoder.com/discuss/165930
计算机视觉暑期实习面经
https://www.nowcoder.com/discuss/186000
算法岗面经（阿里云,1,2,3，交叉，hr 面）
https://www.nowcoder.com/discuss/172079
春招实习面经（cv 算法岗）
https://www.nowcoder.com/discuss/183555
双非本硕算法陪跑面经
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
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）
https://www.nowcoder.com/discuss/186113
爱奇艺深度学习算法实习生面经
https://www.nowcoder.com/discuss/185614
阿里，旷视，亚马逊，谷歌面经
https://www.nowcoder.com/discuss/172693
算法菜鸟的春招之路
https://www.nowcoder.com/discuss/188295
机器学习算法面经（腾讯阿里网易）
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
https://www.nowcoder.com/discuss/192689?type=2
机器学习/数据挖掘岗 2019 秋招总结
https://www.nowcoder.com/discuss/138721
算法面经（阿里、腾讯、美团等）
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）
https://www.nowcoder.com/discuss/106725
春招（附面经）
https://www.nowcoder.com/discuss/79729
计算机视觉算法岗面经
https://www.nowcoder.com/discuss/128148
机器学习算法面经---2018 秋招
https://www.nowcoder.com/discuss/32008
阿里&腾讯春招算法面经
https://www.nowcoder.com/discuss/198290?type=2&order=3&pos=7&page=1
阿里暑期实习六面面经
https://www.nowcoder.com/discuss/180007
阿里 达摩院 cv 算法 面经
https://www.nowcoder.com/discuss/216797
算法工程师面经 寒拼蘑腾作网网 3 附答案
https://www.nowcoder.com/discuss/231656
搜狗算法面经
https://www.nowcoder.com/discuss/231973
商汤 20 校招 CV 算法研究员面经(三面+HR 面)
https://www.nowcoder.com/discuss/209857
作业帮/寒武纪/商汤/科大讯飞面经
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
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）
https://www.nowcoder.com/discuss/244979
秋招小结：感受+面经（CV 算法岗）
https://www.nowcoder.com/discuss/248664
面经（腾讯 AI Lab，阿里达摩院，华为等公司大集合）
https://www.nowcoder.com/discuss/180087
3. 知乎
算法工程师必须要知道的面试技能雷达图
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？
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
https://zhuanlan.zhihu.com/p/59270912
2019 秋招算法面经
https://zhuanlan.zhihu.com/p/42936891
CVTE 视觉计算岗实习面经
https://zhuanlan.zhihu.com/p/59223324
互联网公司最常见的面试算法题有哪些？
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?
https://www.zhihu.com/question/293700785
校招-基础算法图像处理算法
https://zhuanlan.zhihu.com/p/80887909
4. 个人博客
AI 算法工程师手册
小米面试总结
https://wx.qnmlgb.tech/articles/5c55c999ce56ab804b1526cd/
百度/商汤 AI 面试
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)
https://blog.csdn.net/ML_SDD/article/details/84986528
CV 计算机论文速览
https://me.csdn.net/u014636245
5. 微信公众号
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）
秋招面经| 滴滴20 校招 CV 算法岗面试经验分享(三面）
秋招经历（已收到百度、阿里、腾讯、美团、京东、拼多多的 offer）
6. 其它
Solutions to Introduction to Algorithms
CV 领域论文常见单词
https://zhuanlan.zhihu.com/p/60049093
CV 领域 Paper 论文常见单词
https://zhuanlan.zhihu.com/p/58860096
Everything you need to know to get the job
https://github.com/kdn251/interviews
Everything you need to prepare for your technical interview
https://github.com/andreis/interview
Materials to help you rock your next coding interview
https://github.com/yangshun/tech-interview-handbook
C/C++
C/C++面试基础知识总结
https://github.com/huihut/interview
常见 C++笔试面试题整理
https://zhuanlan.zhihu.com/p/69999591
C/C++问题总结
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++)
https://github.com/liuyubobobo/Play-Leetcode
LeetCode, HackRank, 剑指 offer, classic algorithm implementation (C++)
https://github.com/knightsj/awesome-algorithm-question-solution
Data Structure and Algorithm notes 数据结构与算法/leetcode/lintcode 题解
https://github.com/billryan/algorithm-exercise
learnOpencv
https://github.com/spmallick/learnopencv
Solutions to Introduction to Algorithms Third Edition
https://github.com/walkccc/CLRS/
https://walkccc.github.io/CLRS/
LeetCode 动画
https://github.com/MisterBooo/LeetCodeAnimation
leetcode 题解，记录自己的 leetcode 解题之路
https://github.com/azl397985856/leetcode
剑指 offer 第二版
https://pan.baidu.com/s/1wU-8q3Mqvr3x6Et8t77Chg
<算法导论>的 C++实现代码
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
https://github.com/wangzheng0822/algo
Play Leetcode with different Programming language
https://github.com/luliyucoordinate/Leetcode
leetcode
https://github.com/azl397985856/leetcode
algorithm-visualizer
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
https://github.com/gloomyfish1998/opencv_tutorial
LeetCode solutions in C++ 11 and Python3
https://github.com/pezy/LeetCode
Python
代码医生工作室 李金洪《python带我起飞—入门、进阶、商业实战》图书代码
https://pan.baidu.com/s/1Kyur-HfAFtJzYySl4BGFYg
提取码：yzen
关于 Python 的面试题 1
https://github.com/taizilongxu/interview_python
关于 Python 的面试题 2
https://github.com/kenwoodjw/python_interview_question
LeetCode, HackRank, 剑指 offer, classic algorithm implementation (Python)
https://github.com/apachecn/awesome-algorithm
剑指 offer（python 版）/ 算法图解 / python 基础 / 数据结构
https://github.com/weixianglin/oh-my-python
算法面试题 python
https://github.com/leeguandong/Interview-code-practice-python
All Algorithms implemented in Python
https://github.com/TheAlgorithms/Python
Improve your Python by fixing errors
https://github.com/qxf2/wtfiswronghere
wtfpython 的中文翻译
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
https://github.com/china-testing/python-api-tesing
Python 面试都在这里了【315+道题】
https://www.cnblogs.com/wupeiqi/p/9078770.html
The Beauty of Python Programming
https://github.com/ethan-funny/explore-python
Python - 100 天从新手到大师
https://github.com/jackfrued/Python-100-Days
在 Windows 上使用 Python 进行开发
https://docs.microsoft.com/zh-cn/windows/python/
A curated list of awesome Python frameworks, libraries, software and resources
https://github.com/vinta/awesome-python
c9-python-getting-started
https://github.com/microsoft/c9-python-getting-started
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
和鲸 HeyWhale/科赛 AI 竞赛平台
https://www.kesci.com/home/competition
FlyAI 竞赛平台
BaiduAI 竞赛
https://aistudio.baidu.com/aistudio/#\competition
DC 竞赛
https://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
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
https://github.com/dyweb/awesome-resume-for-chinese
AI 算法岗简历模板
https://github.com/amusi/AI-Job-Resume
个人简历模板
https://github.com/ikym/resume
其它
大蛇智能论坛
博士生在没有导师指导的情况下，该如何自己选题发 CVPR
https://www.zhihu.com/question/64566768
专为程序员编写的英语学习指南
https://github.com/yujiangshui/A-Programmers-Guide-to-English
awesome-interview-questions
https://github.com/MaximAbramchuck/awesome-interview-questions
Startups about artificial intelligence. (DM, ML, NLP, CV...)
https://github.com/lipiji/AIStartups
Awesome Programming Books
https://github.com/majikarp/awesome-programming-books#id-section2
计算机速成课(全40 集)
https://github.com/1c7/crash-course-computer-science-chinese
清华大学计算机系课程攻略
https://github.com/PKUanonym/REKCARC-TSC-UHT
北京大学课程资料整理
https://github.com/lib-pku/libpku
中国科学技术大学课程资源
https://github.com/USTC-Resource/USTC-Course
上海交通大学课程资料分享
https://github.com/CoolPhilChen/SJTU-Courses/
浙江大学课程攻略共享计划
https://github.com/QSCTech/zju-icicles
编程竞赛 OI Wiki
https://github.com/OI-wiki/OI-wiki
A complete computer science study plan to become a software engineer.
https://github.com/jwasham/coding-interview-university
Curated list of resources for college students
https://github.com/dipakkr/A-to-Z-Resources-for-Students
Best Paper Awards in Computer Science (since 1996)
https://jeffhuang.com/best_paper_awards.html
推荐阅读
NLP中文面试学习资料：面向算法面试，理论代码俱全，登上GitHub趋势榜
【Github】ML-NLP：机器学习、NLP面试中常考到的知识点和代码实现
技术面试时该反问面试官什么问题？小伙整理了灵魂50问，GitHub日入2500星