Add some Algorithms, DL courses (#471)

* Add MIT 6.7960 (FA24)

* Add UMich EECS 498 / 598 (FA25)

* Add UMich EECS 477 (WI23)

* Add UMich EECS 498 / 598 (FA21)
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butter1125
2026-02-14 17:28:22 +01:00
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@@ -112,6 +112,9 @@ Table of Contents
- [ECS 36C - Data Structures and Algorithms (C++) - Spring 2020 - Joël Porquet-Lupine - UC Davis](https://lupteach.gitlab.io/courses/ucd-ecs36c/online/)
- [Programming and Data Structures with Python, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/python2021sep/)
- [Graph Algorithms - Robert Sedgewick - Princeton University](https://www.youtube.com/watch?v=0qF7tPSQdCg)
- [EECS 477 - Introduction to Algorithms, Winter 2023, UMichigan](https://sites.google.com/site/thsaranurak/teaching/intro-algo)
- [EECS 498 / 598 - Advanced Graph Algorithms: Graph Algorithms via Graph Decomposition, Fall 2025, UMichigan](https://sites.google.com/site/thsaranurak/teaching/GraphDecomp25)
- [EECS 498 / 598 - Advanced Graph Algorithms: Expanders and Fast Graph Algorithms, Fall 2021, UMichigan](https://sites.google.com/site/thsaranurak/teaching/Expander)
- [6.006 - Introduction to Algorithms, MIT OCW](https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/video_galleries/lecture-videos/)
- [MIT 6.006 Introduction to Algorithms, Spring 2020](https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY)
- [Algorithms: Design and Analysis 1 - Stanford University](https://www.youtube.com/playlist?list=PLXFMmlk03Dt7Q0xr1PIAriY5623cKiH7V)
@@ -542,6 +545,7 @@ Table of Contents
- [NYU Deep Learning Spring 2021](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
- [15.773: Hands-On Deep Learning Spring 2024 - MIT](https://ocw.mit.edu/courses/15-773-hands-on-deep-learning-spring-2024/video_galleries/lecture-videos/)
- [6.7960: Deep Learning Fall 2024 - MIT](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video_galleries/lecture-videos/)
- [Intro to Deep Learning and Generative Models Course - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)
- [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
- [CS231n Deep Learning for Computer Vision - Stanford University](https://cs231n.stanford.edu/schedule.html) ([Spring 2025](https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16)) ([Winter 2016 Andrej Karpathy](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC))