Courses - mat-yz-e/- GitHub Wiki
Applied Agentic Software Engineering
https://eecs498-aase.github.io/index.html
CS2680 Modern AI Systems: Agents and System Optimizations
https://cs2680.seas.harvard.edu/
Discrete Generative Models
https://cis6270.github.io/
CS909 Machine Learning Algorithms and Practice
https://warwick.ac.uk/fac/sci/dcs/teaching/material/cs909/
Scalable AI
https://scalable-ai.eecs.berkeley.edu
Machine Learning for Algorithm Design
https://home.ttic.edu/~avrim/MLforAD25/
Numerical Optimization for Data Science and Machine Learning
https://damek.github.io/STAT-4830/toc.html
AI Safety
https://boazbk.github.io/mltheoryseminar
Advanced Topics of Deep Generative Models
https://jiataogu.me/DeepGenerativeModels/
Foundation Models
https://pages.cs.wisc.edu/~fredsala/cs839/fall2025/schedule.html
Introduction to reinforcement learning and control theory
https://www2.compute.dtu.dk/courses/02465/index.html
CS146S: The Modern Software Developer
https://themodernsoftware.dev/
Introduction to Manifold Learning
https://www.youtube.com/playlist?list=PLqgZEQsU_8E3ofyYLrAQkPAj-L14NM7ZY
Natural Language Processing Fall 2025
https://cal-nlp-class.github.io/fa25/
CS 189/289A: Intro to Machine Learning
https://eecs189.org/fa25/
CSE 234: Data Systems for Machine Learning
https://hao-ai-lab.github.io/cse234-w25/index.html
CME 295 - Transformers & Large Language Models
https://cme295.stanford.edu/
Advanced NLP, Fall 2025
https://github.com/cmu-l3/anlp-fall2025-code
CS336: Language Modeling from Scratch
https://stanford-cs336.github.io/spring2025/
CS 4/5780: Intro to Machine Learning
https://www.cs.cornell.edu/courses/cs4780/2024sp/#Header
6.390 - Intro to Machine Learning
https://introml.mit.edu/notes/
Generative AI Course
https://www.cs.cmu.edu/~mgormley/courses/10423