Self-Learning Programs

CS Basics

• MIT: Missing Semester

• MIT6.100L: Introduction to CS and Programming using Python

• Harvard CS50-Python: Introduction to Programming with Python

• UCB CS61A: Structure and Interpretation of Computer Programs

• MIT6.006: Introduction to Algorithms

• UCB Data100: Principles and Techniques of Data Science

• CMU15-213: Introduction to Computer Systems

AI Intro

• Harvard CS50-AI: Introduction to AI with Python

• UCB CS188: Introduction to Artificial Intelligence

• Stanford CS221: Artificial Intelligence: Principles and Techniques

ML/DL System

• Stanford CS329S: Machine Learning Systems Design

• CMU10-414: Deep Learning Systems

• UCAS AICS: 智能计算系统

• UCB: Full Stack Deep Learning

Machine Learning

• UCB CS189: Introduction to Machine Learning

• MIT6.3900: Introduction to Machine Learning

• ENS: Introduction to Machine Learning

• Coursera: Machine Learning

• Stanford CS229: Machine Learning

• MIT6.7900: Machine Learning

• CMU11-777: MultiModal Machine Learning

• HKU Stat3612: Statistical Machine Learning

• ETHZ: Advanced Machine Learning

Deep Learning

• d2l-zh: Dive into Deep Learning

• CMU11-785: Introduction to Deep Learning

• MIT6.S191: Introduction to Deep Learning

• Stanford CS230: Deep Learning

• MIT6.S898: Deep Learning

• UT-Austin CS342: Deep Learning

• UIUC CS547: Deep Learning

• NYU DSGA1008: Deep Learning

• UNIGE: Deep Learning

• FUDAN: NNDL

• Fast.ai: Practical Deep Learning for Coders

• ENS: Deep Learning - Do It Yourself

• IDIAP EE559: Deep Learning

• UCB CS282A: Designing, Visualizing and Understanding Deep Neural Networks

• MIT: Structure and Interpretation of Deep Networks

• UCB CS294-158: Deep Unsupervised Learning

• MIT6.5940: TinyML and Efficient Deep Learning Computing

• NUS CS5242: Neural Networks and Deep Learning

• NUS CS6208: Advanced Topics in Artificial Intelligence

• WU: Deep Learning

Computer Vision

• Resources

  • Databases: Image and Video Databases

  • Encyclopedia: CVonline: The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision

• DIP (Digital Image Processing)

  • Stanford CS232: Digital Image Processing 🏷⌨️

  • Duke ECE588: Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

• Classical CV

  • UMich EECS442: Computer Vision

  • Stanford CS131: Computer Vision: Foundations and Applications

  • UIUC CS543: Computer Vision

  • UCB CS194-26: Computer Vision and Computational Photography

• Deep Learning CV

  • WWU CSCI497P: Introduction to Computer Vision

  • CMU16-385: Computer Vision

  • Brown CSCI1430: Introduction to Computer Vision

  • GATECH CS4476: Computer Vision

  • CMPT412: Computer-Vision

  • Cornell CS5670: Introduction to Computer Vision

  • UMich EECS498: Deep Learning for Computer Vision 🎥🏷⌨️

  • Stanford CS231n: Deep Learning for Computer Vision 🎥🏷⌨️ - 📅2024/9/20.

  • Stanford CS231A: Computer Vision, From 3D Perception to 3D Reconstruction and beyond

  • UIUC CS444: Deep Learning for Computer Vision

  • UMich EECS542: Advanced Topics in Computer Vision

  • UCB CS280: Advanced Topics in Computer Vision

  • MIT6.8300: Advances in Computer Vision

  • IMPA: Fundamentals and Trends in Vision and Image Processing

  • NUS CS4277: 3D Computer Vision

  • CMU15-463: Computational photography

Natural Language Processing

• UCB CS194-267: Understanding Large Language Models: Foundations and Safety

• UCB CS288: Natural Language Processing

• Stanford CS25: Transformers United V4

• Stanford CS224n: Natural Language Processing with Deep Learning

• Stanford CS324: Large Language Models

Reinforcement Learning

• UCB CS285: Deep Reinforcement Learning, Decision Making, and Control

Career

• UIUC CS591: CS Ph.D. Job Search Seminar

• AI Job Notes

Notations

🎥 - Lecture videos available

🏷 - PPT/Notes/Reading available

⌨️ - Assignments/Homework/Projects available (coding rather than writing)

⚙️ - Autograde for assignments/homework/projects available