# Standford Online (Course)

| Course | Version | Professor |
| :--- |:---:| ---:|
| [CS236: Deep Generative Models](https://deepgenerativemodels.github.io/) | [2023](https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8) | Stefano Ermon |
| [EE364A Convex Optimization](https://web.stanford.edu/class/ee364a/) | [2023](https://www.youtube.com/playlist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h) | Stephen Boyd |
| [CS224W: Machine Learning with Graphs](http://web.stanford.edu/class/cs224w/) | [2021](https://www.youtube.com/playlist?list=PLoROMvodv4rOP-ImU-O1rYRg2RFxomvFp) | Jure Leskovec |
| [CS224N: NLP with Deep Learning](http://web.stanford.edu/class/cs224n/) | [Winter 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4) | Christopher Manning |
| [CS229 Machine Learning](https://cs229.stanford.edu/syllabus-spring2022.html) | [Spring 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy) | Tengyu Ma |
| [CS330 Deep Multi-Task & Meta Learning](https://cs330.stanford.edu/) | [Autumn 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI) | Chelsea Finn |
| [CS229M Machine Learning Theory](https://web.stanford.edu/class/stats214/) | [Fall 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh) | Tengyu Ma |
| [CS330: Deep Multi-Task & Meta Learning](http://cs330.stanford.edu/fall2021/index.html) | [2021](https://www.youtube.com/playlist?list=PLoROMvodv4rMIJ-TvblAIkw28Wxi27B36) | Chelsea Finn |
| [CS221: Artificial Intelligence: Principles and Techniques](https://stanford-cs221.github.io/autumn2021/) | [Autumn 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rOca_Ovz1DvdtWuz8BfSWL2) | Percy Liang & Dorsa Sadigh |
| [CS224U Natural Language Understanding](https://web.stanford.edu/class/cs224u/) | [Spring 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rPt5D0zs3YhbWSZA8Q_DyiJ) | Christopher Potts |
| [CS229: Machine Learning Course](https://cs229.stanford.edu/syllabus-autumn2018.html) | [Autumn 2018](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU) | Andrew Ng |
| [CS234: Reinforcement Learning](https://web.stanford.edu/class/cs234/index.html) | [Winter 2019](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u) | Emma Brunskill |
| [CS230: Deep Learning](http://cs230.stanford.edu/) | [Autumn 2018](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb) | Andrew Ng |

# Princeton University (Course)
1. [COS 597G: Understanding Large Language Models](https://www.cs.princeton.edu/courses/archive/fall22/cos597G/) - Fall 2022 - Danqi Chen

# MIT Center for Brains, Minds, and Machine (Tutorials)
1. [Diffusion and Score-Based Generative Models](https://www.youtube.com/watch?v=wMmqCMwuM2Q) - Prof. Yang Song (Stanford University)
2. [Bayesian Inference in Generative Models](https://www.youtube.com/watch?v=PRY2NbOXbHk&list=PLyGKBDfnk-iAU7N6dYVy7HhK2aLjLSPKM&index=21) - Prof. Luke Hewitt (MIT)
3. [Language Models as World Models](https://www.youtube.com/watch?v=dqBwKCabTXA) - Prof. Jacob Andreas (MIT)

# MIT OpenCourseWare (Course)
| Course | Version | Professor |
|:--- |:---:| ---:|
| [MIT 18.S096 Matrix Calculus For Machine Learning And Beyond](https://ocw.mit.edu/courses/18-s096-matrix-calculus-for-machine-learning-and-beyond-january-iap-2023/) | [2023](https://www.youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE) | Prof. Alan Edelman, Prof. Steven G. Johnson |
| [MIT 6.S897 Machine Learning for Healthcare](https://ocw.mit.edu/courses/6-s897-machine-learning-for-healthcare-spring-2019/) | [Spring 2019](https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j) | Prof. David Sontag, Prof. Peter Szolovits |

# Berkley University
| Course | Version | Professor |
|:--- |:---:| ---:|
| [CS294-158-SP24 Deep Unsupervised Learning](https://sites.google.com/view/berkeley-cs294-158-sp24/home) | [Srping 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home) | Pieter Abbeel, Wilson Yan, Kevin Frans, Philipp Wu |

# Cambridge University
1. [Gaussian Process Summer School - 2023](https://www.youtube.com/playlist?list=PLZ_xn3EIbxZEfVFv_phg8gwgYx4KERyzS)
2. [Gaussian Process Summer School - 2021](https://www.youtube.com/playlist?list=PLZ_xn3EIbxZGcqHGFj-P_SI6OCXy8TfoL)
3. [Gaussian Process Summer School - 2020](https://www.youtube.com/playlist?list=PLZ_xn3EIbxZHynuWRdYp4WDtpKm5Xo9Ge)
4. [Gaussian Process Summer School - 2019](https://www.youtube.com/playlist?list=PLZ_xn3EIbxZHoq8A3-2F4_rLyy61vkEpU)

# New Jersey Insitute of Technology
1. [Optimal Transport](https://www.youtube.com/playlist?list=PLJ6garKOlK2qKVhRm6UwvcQ46wK-ciHbl) - Prof. Brittany Hamfeldt

# Siggraph Asia 2024
1. [MCMC: Bridging Rendering, Optimization and Generative AI](https://dl.acm.org/doi/abs/10.1145/3680532.3689592)
2. [Introduction to Generative Machine Learning](https://dl.acm.org/doi/10.1145/3680532.3689591)

# University of Würzburg
1. [Computational Geometry](https://www.youtube.com/playlist?list=PLubYOWSl9mIvTio-1bXWnhE9LdeXfox1z)

# Colombia University
1. [First Principles of Computer Vision](https://fpcv.cs.columbia.edu/) - Prof. Shree K. Nayar