Possible Course List
以下是我遇见的（但是并不一定学过或者了解过的）课程，一些已经列入正文部分的课程不会出现在这里。我不清楚授课质量如何、课程材料是否齐全等等信息，仅列在这里作为参考。如果你学习了其中的某些课程并愿意作出分享的话，我将不胜感激！
编译原理
编译原理
- CMPT 379: COMPILERS
- STJU CS 2612, Programming Languages and Compilers
并行计算
并行计算
- CS 149 Parallel Computing
大语言模型
大语言模型
概率图模型
机器人
机器人
机器学习理论
机器学习理论
- https://web.stanford.edu/class/stats214/
- UCB CS 281A (Statistical Learning Theory) - delves into greater detail about statistical learning than CS 189/289A
机器学习系统
机器学习系统
- https://zhuanlan.zhihu.com/p/608318764
- Stanford CS 329S: Machine Learning Systems Design
- Stanford Systems for Machine Learning https://cs229s.stanford.edu/fall2023/
- Hardware Accelerators for Machine Learning - Stanford Online
- 6.5930/1 Hardware Architecture for Deep Learning - MIT
- Hardware for Machine Learning - University of California, Berkeley
- cornell ECE 5545 Machine Learning Hardware and Systems
- https://dlsyscourse.org/
- https://mlc.ai/summer22-zh/
计算机视觉
计算机视觉
- https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/
- UCB CS 280 (Computer Vision) - covers advances in the field of vision models in the past 20-30 years.
- http://6.869.csail.mit.edu/sp22/
- https://web.stanford.edu/class/cs231a/
- http://vision.stanford.edu/teaching/cs131_fall2021/
强化学习
人工智能导论
人工智能导论
- CS188: Introduction to Artificial Intelligence
- Stanford CS221 Artificial Intelligence: Principles and Techniques
深度学习
深度学习
- UCB CS 182 (Deep Learning) - covers more recent deep learning architectures in greater detail.
- UCB CS 194 Full Stack Deep Learning
- https://course.fast.ai/
生成式模型
生成式模型
- Hugging Face Diffussion Course
- https://speech.ee.ntu.edu.tw/~hylee/genai/2024-spring.php
数据科学
数据科学
- UCB Data8
- UCB Data140
- UCB Data100
随机过程
随机过程
- MIT 18.445 Introduction To Stochastic Processes
- MIT 15.070J Advanced Stochastic Processes
- https://services.math.duke.edu/~rtd/EOSP/EOSP2E.pdf
概率统计
概率统计
- https://web.stanford.edu/~lmackey/stats300a/ (basic)
- https://egrcc.github.io/docs/math/all-of-statistics.pdf
- https://www.stat.cmu.edu/~larry/=sml/ (stat with ML)
- https://stat210a.berkeley.edu/fall-2024/ (graduate)
- https://www.stat.berkeley.edu/~bartlett/courses/2013spring-stat210b/ (graduate)
- http://www.stat.ucla.edu/~arashamini/teaching/200b
- https://web.stanford.edu/class/stats310a/index.html
推荐系统
信息论
信息论
- https://web.stanford.edu/class/ee276/
- https://web.stanford.edu/class/stats311/
- http://www.inference.org.uk/mackay/itila/
- https://web.stanford.edu/class/ee376a/
- https://ocw.mit.edu/courses/6-441-information-theory-spring-2016/pages/syllabus/
- https://ocw.mit.edu/courses/6-050j-information-and-entropy-spring-2008/
优化理论
优化理论
语音处理
语音处理
- Stanford CS224S: Spoken Language Processing
- Hugging Face Audio Course: https://huggingface.co/learn/audio-course/chapter0/introduction
- https://www.cse.iitb.ac.in/~pjyothi/cs753/index.html
自然语言处理
自然语言处理
- CMU 10-711 https://www.phontron.com/class/anlp2021/
- Stanford CS124: From Languages to Information
- Stanford CS224U: Natural Language Understanding
- UCB CS 288 (Natural Language Processing) - covers techniques used to understand patterns and perform tasks on text. Also covers recent advances in language models.
- Stanford CS224V Conversational Virtual Assistants with Deep Learning
- UMass CS 685 Advanced Natural Language Processing
多模态模型
多模态模型
- CMU 11-777
- CMSC848K https://jbhuang0604.github.io/teaching/CMSC848K/