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Artificial Intelligence/Machine Learning/Deep Learning Resources for Different Levels

General

1- Find your new project from paperswithcode

2- Read Ethics Guidelines for Trustworthy AI

3- Join communities: HuggingFace, ML Tokio and FastAI

Courses

1- Stanford CS231n (https://cs231n.github.io)

2- https://www.fast.ai

3- https://cds.nyu.edu/deep-learning/

4- https://web.stanford.edu/~jurafsky/slp3/

5- https://cs224w.stanford.edu

6- Tübingen Machine Learning https://www.youtube.com/channel/UCupmCsCA5CFXmm31PkUhEbA/videos

7- TUM Computer Vision https://www.youtube.com/playlist?list=PLog3nOPCjKBneGyffEktlXXMfv1OtKmCs

8- https://huggingface.co/course/chapter1

9- Essence of linear algebra https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab

10- http://mitliagkas.github.io/ift6085-dl-theory-class-2019/

11- AI&ML Oxford https://twitter.com/wooldridgemike/status/1406691675498553354

12- https://missing.csail.mit.edu

Books

1- https://www.deeplearningbook.org

2- https://mml-book.github.io

3- https://huyenchip.com/ml-interviews-book/

Meetings

1- https://iml.web.cern.ch/meetings

2- Mila Tea Talks https://mila.quebec/en/cours/rdv/

3- Koç University AI Meetings https://ai.ku.edu.tr/ai-meetings/

Blogs/Channels

1- http://colah.github.io/posts/2015-08-Understanding-LSTMs

2- The Illustrated Transformer – Jay Alammar https://jalammar.github.io/illustrated-transformer/

3- Yannic Kilcher YouTube Channel https://www.youtube.com/c/YannicKilcher

4- Henry AI Labs https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw?view_as=subscriber

5- Jeremy Jordan https://www.jeremyjordan.me

6- Machine Learning Mastery https://machinelearningmastery.com

7- Analytics Community https://www.analyticsvidhya.com/blog/

8- Blog - neptune.ai https://neptune.ai/blog

9- Chai Time Data Science https://www.youtube.com/c/chaitimedatascience

Blog posts

1- https://machinelearningmastery.com/practical-guide-to-gan-failure-modes/

2- https://machinelearningmastery.com/statistical-language-modeling-and-neural-language-models/

Collections

1- https://deepmind.com/learning-resources

2- https://madewithml.com

3- https://twitter.com/omarsar0

4- https://twitter.com/arunprakashml/status/1404759268717334529

5- https://github.com/duyguislakoglu/awesome-graph-ml

Videos

1- https://slideslive.com/38955135/geometric-deep-learning-the-erlangen-programme-of-ml

Slides

1- https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-40-introduction-to-neural-computation-spring-2018/lecture-notes/MIT9_40S18_Lec20.pdf

PhD

1- European Lab for Learning & Intelligent Systems https://ellis.eu

2- Computer Science Research at Max Planck Institutes | Computer and Information Science Research Germany Europe https://www.cis.mpg.de

3- Max-Planck-Institut für Informatik: CS@SAAR https://www.mpi-inf.mpg.de/cssaar

4- IMPRS-IS International Max Planck Research School for Intelligent Systems https://imprs.is.mpg.de

5- The Hybrid Intelligence Centre https://www.hybrid-intelligence-centre.nl

Internships

1- https://www.zurich.ibm.com/greatminds/

Podcast

1- https://twimlai.com

Programs

1- AI Residency programs

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