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https://github.com/jackwener/CS-Awesome-Courses
计算机的优秀课程
https://github.com/jackwener/CS-Awesome-Courses
List: CS-Awesome-Courses
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计算机的优秀课程
- Host: GitHub
- URL: https://github.com/jackwener/CS-Awesome-Courses
- Owner: jackwener
- Created: 2019-05-24T04:30:09.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-07-04T07:33:42.000Z (over 2 years ago)
- Last Synced: 2024-05-22T13:24:41.890Z (6 months ago)
- Topics: awesome, courses, learning
- Homepage:
- Size: 84 KB
- Stars: 1,507
- Watchers: 19
- Forks: 210
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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- ultimate-awesome - CS-Awesome-Courses - 计算机的优秀课程. (Other Lists / PowerShell Lists)
README
# CS-Awesome-Courses
> 欢迎通过 PR 分享别的优质计算机课程
>
> 如果出现任何错误或者过期链接,欢迎通过 PR 改正.## Artificial Intelligence
[吴恩达机器学习](https://www.coursera.org/learn/machine-learning)
[CS224d: Deep Learning for Natural Language Processing](http://cs224d.stanford.edu/syllabus.html)
[CS221: Artificial Intelligence: Principles and Techniques](http://web.stanford.edu/class/cs221/)
[CS 20: Tensorflow for Deep Learning Research](https://web.stanford.edu/class/cs20si/syllabus.html)
[CS234: Reinforcement Learning](http://web.stanford.edu/class/cs234/schedule.html)
Amazon 李沐大神出的[《动手学深度学习》](https://discuss.gluon.ai/t/topic/753)
台湾大学林轩田教授 [《机器学习基石上》](https://www.coursera.org/learn/ntumlone-mathematicalfoundations), [《机器学习基石下》](https://www.coursera.org/learn/ntumlone-algorithmicfoundations)
台湾大学[《Applied Deep Learning/Machine Learning and Having It Deep and Structured》](https://www.csie.ntu.edu.tw/~yvchen/f106-adl/syllabus.html)
[UCB CS188](https://www.bilibili.com/video/av15630620/)
[MIT 6.034](http://open.163.com/movie/2017/9/Q/S/MCTMNN3UI_MCTMNR8QS.html)
斯坦福 CS229
- [视频](http://open.163.com/special/opencourse/machinelearning.html)
- [讲义](https://github.com/Kivy-CN/Stanford-CS-229-CN)斯坦福 CS231n
- [视频](https://www.bilibili.com/video/av17204303/)
- [讲义](https://zhuanlan.zhihu.com/p/21930884?refer=intelligentunit)斯坦福 CS224d
- [主页](http://cs224d.stanford.edu/)
- [讲义](http://blog.csdn.net/column/details/dl-nlp.html)[斯坦福 CS20si](https://web.stanford.edu/class/cs20si/)
斯坦福 CS230 / DeepLearningAI
- [视频](https://mooc.study.163.com/course/deeplearning_ai-2001281002#/info)
- [笔记](http://ai-start.com/dl2017/)[MIT 6.S191](https://www.bilibili.com/video/av19113488)
UCB CS294
- [视频](https://www.bilibili.com/video/av9802698/)
- [笔记](https://zhuanlan.zhihu.com/c_150977189)## Operating System
[MIT 大名鼎鼎的6.828]()
[清华大学的OS课程 ucore,视频在学堂在线和bilibili均有]()
清华大学用Rust从零开始写OS(rCore-Tutorial-v3),[代码](https://github.com/rcore-os/rCore-Tutorial-v3),[文档](https://rcore-os.github.io/rCore-Tutorial-Book-v3/)
[南京大学 ICS PA](https://nju-projectn.github.io/ics-pa-gitbook/ics2019/)
[NJU ICS PA Bilibili](https://www.bilibili.com/video/BV1qa4y1j7xk)
[NJU OS](https://www.bilibili.com/video/BV1HN41197Ko?p=1)
上海交通大学 操作系统 (陈海波、夏虞斌)
- [上海交通大学 SE315](https://ipads.se.sjtu.edu.cn/courses/os/)
- [视频课程(好大学在线) ](https://www.cnmooc.org/portal/course/5610/14956.mooc)
- [对应教材 《现代操作系统——原理与实现》](https://ipads.se.sjtu.edu.cn/mospi/)
- [配套 Lab](https://gitee.com/ipads-lab/chcore-lab)
[CMU CSAPP 对应的课程 15213](https://www.cs.cmu.edu/~213/schedule.html)
[CMU 15410/605](https://www.cs.cmu.edu/~410/)
[Gate Lectures OS](https://www.youtube.com/playlist?list=PLEbnTDJUr_If_BnzJkkN_J0Tl3iXTL8vq)
## Programming Language
[Structure and Interpretation of Computer Programs](https://book.douban.com/subject/1451622/)
[CIS 194(学习haskell)]()
[伯克利改的Python版SICP]()
[华盛顿大学 Programming Languages]()
[浓缩版mit 6.001(SICP)](http://web.mit.edu/alexmv/6.037/)
## Compliers
[stanford CS143](http://web.stanford.edu/class/cs143/)
[stanford CS243](https://suif.stanford.edu/~courses/cs243/)
[stanford CS343](http://web.stanford.edu/class/cs343/)
[Gate Lectures 编译](https://www.youtube.com/playlist?list=PLEbnTDJUr_IcPtUXFy2b1sGRPsLFMghhS)
## Database System
[CMU 15445](https://15445.courses.cs.cmu.edu/fall2019/#)
[CMU 15721](https://15721.courses.cs.cmu.edu/spring2019/)
[MIT 6.830/6.814]()
[pingcap talent-plan](https://zhuanlan.zhihu.com/p/61340679)
[instruction](https://docs.google.com/document/d/1UG0OHuL6l_hHWs3oyT9gA2n7LuYUfV23nmz0tRvXq2k/edit#heading=h.ywlair765ic9)
[cs 245](http://web.stanford.edu/class/cs245/#schedule)
[斯坦福 CS346](https://web.stanford.edu/class/cs346/2015/)
[伯克利 CS 186](https://cs186berkeley.net/)
[斯坦福 CS145](https://www.bilibili.com/video/av19616961/)
[华盛顿大学 CSE444](https://courses.cs.washington.edu/courses/cse444/15sp/)
## Distributed System
[MIT 6.824](https://pdos.csail.mit.edu/6.824/)
[Stanford CS244b: Distributed systems](https://www.scs.stanford.edu/14au-cs244b/)
[CMU 15-440/640, Spring 2016: Distributed Systems](https://www.cs.cmu.edu/~15-440/)
## Data Structures and Algorithms
[UCB CS61b](https://inst.eecs.berkeley.edu/~cs61b/)
[普林斯顿 Algs4](http://algs4.cs.princeton.edu/)
[MIT 6.006](http://open.163.com/special/opencourse/algorithms.html)
[Gate Lectures 算法和数据结构](https://www.youtube.com/playlist?list=PLEbnTDJUr_IeHYw_sfBOJ6gk5pie0yP-0)
[《算法 第四版》](https://algs4.cs.princeton.edu/home/)
普林斯顿在 [Coursera](https://www.coursera.org/) 上也公开了两门对应课程:[Algorithms, Part I](https://www.coursera.org/learn/algorithms-part1) 和 [Algorightmsm, Part2](https://www.coursera.org/learn/algorithms-part2)
[斯坦福 CS106b](http://open.163.com/special/opencourse/abstractions.html) (broken link)
## Computer Networking
[cmu15441](https://computer-networks.github.io/sp19/)
[cs144](https://cs144.github.io/)
[top to down approach](http://uniteng.com/wiki/doku.php?id=classlog:computer_networks)
[myk's top-to-down](https://github.com/moranzcw/Computer-Networking-A-Top-Down-Approach-NOTES)
[伯克利 EE122](https://www2.eecs.berkeley.edu/Courses/EE122/)
[Gate Lectures 计网](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j)
[斯坦福 CS144](https://www.bilibili.com/video/av11930774/)
## Computer Architecture
[nand2tetris](http://www.nand2tetris.org/)
CMU 15-213
- [视频](https://www.bilibili.com/video/BV1iW411d7hd)
- [讲义](https://hansimov.gitbook.io/csapp/)MIT 6.828
- [主页](https://pdos.csail.mit.edu/6.828/)
- [xv6中文文档](https://th0ar.gitbooks.io/xv6-chinese/content/content/cover.html)[UCB CS61c](http://www-inst.eecs.berkeley.edu/~cs61c/)