forked from PKUFlyingPig/cs-self-learning
-
Notifications
You must be signed in to change notification settings - Fork 0
/
mkdocs.yml
171 lines (159 loc) · 7.13 KB
/
mkdocs.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
site_name: CS自学指南
site_url: https://csdiy.wiki/
site_author: PKUFlyingPig
site_description: >-
CS自学指南
repo_name: cs-self-learning
repo_url: https://github.com/pkuflyingpig/cs-self-learning/
copyright: Copyright © 2021-present <a href="https://github.com/PKUFlyingPig" target="_blank" rel="noopener noreferrer">PKUFlyingPig</a>
theme:
name: material
language: zh
static_templates:
- 404.html
include_search_page: false
search_index_only: true
features:
- header.autohide
# - navigation.instant
# - navigation.expand
# - navigation.sections
- navigation.tracking
# - navigation.tabs
# - navigation.tabs.sticky
- navigation.top
# - navigation.indexes
- search.highlight
- search.share
- search.suggest
# - toc.integrate
- content.code.annotate
palette:
- media: "(prefers-color-scheme: light)"
scheme: default
primary: light blue
accent: deep purple
toggle:
icon: material/weather-sunny
name: Switch to dark mode
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: cyan
accent: deep purple
toggle:
icon: material/weather-night
name: Switch to light mode
font:
text: Roboto
code: Roboto Mono
icon:
repo: fontawesome/brands/github
custom_dir: overrides
plugins:
- search:
lang: ja
- git-revision-date-localized
- minify:
minify_html: true
extra:
social:
- icon: fontawesome/brands/github
link: https://github.com/pkuflyingpig/cs-self-learning/
nav:
- 前言: "index.md"
- 一个仅供参考的CS学习规划: "CS学习规划.md"
- 必学工具:
- 翻墙: "必学工具/翻墙.md"
- Vim: "必学工具/Vim.md"
- Git: "必学工具/Git.md"
- GitHub: "必学工具/GitHub.md"
- "GNU Make": "必学工具/GNU_Make.md"
- CMake: "必学工具/CMake.md"
- LaTeX: "必学工具/LaTeX.md"
- Docker: "必学工具/Docker.md"
- 实用工具箱: "必学工具/tools.md"
- 好书推荐: "好书推荐.md"
- 数学基础:
- "MIT18.01/18.02: Calculus": "数学基础/MITmaths.md"
- "MIT18.06: Linear Algebra": "数学基础/MITLA.md"
- "MIT6.050J: Information theory and Entropy": "数学基础/information.md"
- 数学进阶:
- "UCB CS70: discrete Math and probability theory": "数学进阶/CS70.md"
- "UCB CS126: probability theory": "数学进阶/CS126.md"
- "MIT 6.042J: Mathematics for Computer Science": "数学进阶/6.042J.md"
- "MIT18.330: Introduction to numerical analysis": "数学进阶/numerical.md"
- "Standford EE364A: Convex Optimization": "数学进阶/convex.md"
- "The Information Theory, Patter Recognition, and Neural Networks": "数学进阶/The_Information_Theory_Pattern_Recognition_and_Neural_Networks.md"
- 编程入门:
- "MIT-Missing-Semester": "编程入门/MIT-Missing-Semester.md"
- "Harvard CS50: This is CS50x": "编程入门/CS50.md"
- "UCB CS61A: Structure and Interpretation of Computer Programs": "编程入门/CS61A.md"
- "Duke University: Introductory C Programming Specialization": "编程入门/Duke-Coursera-Intro-C.md"
- "Stanford CS106L: Standard C++ Programming": "编程入门/CS106L.md"
- "Stanford CS110L: Safety in Systems Programming": "编程入门/CS110L.md"
- 电子基础:
- "EE16A&B: Designing Information Devices and Systems I&II": "电子基础/EE16.md"
- "UCB EE120 : Signal and Systems": "电子基础/signal.md"
- "MIT 6.007 Signals and Systems": "电子基础/Signals_and_Systems_AVO.md"
- 数据结构与算法:
- "UCB CS61B: Data Structures and Algorithms": "数据结构与算法/CS61B.md"
- "Coursera: Algorithms I & II": "数据结构与算法/Algo.md"
- "Stanford CS106B/X": "数据结构与算法/CS106B_CS106X.md"
- "UCB CS170: Efficient Algorithms and Intractable Problems": "数据结构与算法/CS170.md"
- 软件工程:
- "MIT 6.031: Software Construction": "软件工程/6031.md"
- "UCB CS169: software engineering": "软件工程/CS169.md"
- 体系结构:
- "Coursera: Nand2Tetris": "体系结构/N2T.md"
- "Digital Design and Computer Architecture": "体系结构/DDCA.md"
- "UCB CS61C: Great Ideas in Computer Architecture": "体系结构/CS61C.md"
- "CMU 15-213: CSAPP": "体系结构/CSAPP.md"
- 操作系统:
- "MIT 6.S081: Operating System Engineering": "操作系统/MIT6.S081.md"
- "UCB CS162: Operating System": "操作系统/CS162.md"
- 并行与分布式系统:
- "CMU 15-418/Stanford CS149: Parallel Computing": "并行与分布式系统/CS149.md"
- "MIT 6.824: Distributed System": "并行与分布式系统/MIT6.824.md"
- 计算机系统安全:
- "UCB CS161: Computer Security": "系统安全/CS161.md"
- "MIT 6.858: Computer System Security": "系统安全/MIT6.858.md"
- 计算机网络:
- "Computer Networking: A Top-Down Approach": "计算机网络/topdown.md"
- "Stanford CS144: Computer Network": "计算机网络/CS144.md"
- 数据库系统:
- "UCB CS186: Introduction to Database System": "数据库系统/CS186.md"
- "CMU 15-445: Database Systems": "数据库系统/15445.md"
- 编译原理:
- "Stanford CS143: Compilers": "编译原理/CS143.md"
- 计算机图形学:
- "GAMES101": "计算机图形学/GAMES101.md"
- "GAMES202": "计算机图形学/GAMES202.md"
- "GAMES103": "计算机图形学/GAMES103.md"
- "Stanford CS148": "计算机图形学/CS148.md"
- Web开发:
- "MIT web development course": "Web开发/mitweb.md"
- "Stanford CS142: Web Applications": "Web开发/CS142.md"
- 数据科学:
- "UCB Data100: Principles and Techniques of Data Science": "数据科学/Data100.md"
- 人工智能:
- "Harvard CS50's Introduction to AI with Python": "人工智能/CS50.md"
- "UCB CS188: Introduction to Artificial Intelligence": "人工智能/CS188.md"
- "智能计算系统": "人工智能/CYJ.md"
- 机器学习:
- "Coursera: Machine Learning": "机器学习/ML.md"
- "Stanford CS229: Machine Learning": "机器学习/CS229.md"
- "UCB CS189: Introduction to Machine Learning": "机器学习/CS189.md"
- 深度学习:
- "Coursera: Deep Learning": "深度学习/CS230.md"
- "国立台湾大学：李宏毅机器学习": "深度学习/LHY.md"
- "Stanford CS231n: CNN for Visual Recognition": "深度学习/CS231.md"
- "Stanford CS224n: Natural Language Processing": "深度学习/CS224n.md"
- "Stanford CS224w: Machine Learning with Graphs": "深度学习/CS224w.md"
- "UCB CS285: Deep Reinforcement Learning": "深度学习/CS285.md"
- 机器学习进阶:
- "进阶路线图": "机器学习进阶/roadmap.md"
- "CMU 10-708: Probabilistic Graphical Models": "机器学习进阶/CMU10-708.md"
- "Columbia STAT 8201: Deep Generative Models": "机器学习进阶/STAT8201.md"
- "U Toronto STA 4273 Winter 2021: Minimizing Expectations": "机器学习进阶/STA4273.md"
- "Stanford STATS214 / CS229M: Machine Learning Theory": "机器学习进阶/CS229M.md"
- 后记: "后记.md"