⚠️ This repository is no longer being updated. Please check the newer version of the list at https://mirerfangheibi.github.io/ml_resources/.

Deep Learning Resources

The following materials are of high quality and free resources that I found related to the Deep Learning field. I am continually updating here.

Courses:

1. (NYU) DEEP LEARNING

• Course URL: https://atcold.github.io/pytorch-Deep-Learning/
• 2020 Video Lecture Playlist: https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq
• Deep Learning SP21 practica: https://www.youtube.com/watch?v=EyKiYVwrdjE&list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI

2. DeepMind x UCL | Deep Learning Lecture Series 2020

• Lecture Videos Playlist: https://www.youtube.com/playlist?list=PLqYmG7hTraZCDxZ44o4p3N5Anz3lLRVZF

3. (Stanford) CS224n: Natural Language Processing with Deep Learning

• Courese URL: http://web.stanford.edu/class/cs224n/

• Lecture Videos Playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z

4. (Stanford) CS224W: Machine Learning with Graphs

• Courese URL: http://web.stanford.edu/class/cs224w/index.html

• Lecture Videos Playlist (2019): http://snap.stanford.edu/class/cs224w-videos-2019/

• Lecture Videos Playlist (2021): https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW

5. (Cornell)CS4780/CS5780: Machine Learning for Intelligent Systems

• Courese URL: https://www.cs.cornell.edu/courses/cs4780/2018fa/
• Lecture Videos Playlist: https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS

6. (University of Maryland)CMSC 828W: Foundations of Deep Learning

• Courese URL: http://www.cs.umd.edu/class/fall2020/cmsc828W/
• Lecture Videos Playlist: https://www.youtube.com/watch?v=6Nctj1GCFVo&list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf

7. (Michigan)EECS 498-007 / 598-005 Deep Learning for Computer Vision

• Course URL: https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2020/
• Lecture Video Playlist: https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r

8. (McGill)COMP 551 - Applied Machine Learning

• Course URL: https://cs.mcgill.ca/~wlh/comp551/schedule.html

9. (MIT) MITX 6.036 : Introduction to Machine Learning

• Course URL: https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about

10. (MIT) OCW 18.06SC: Linear Algebra

• Course URL: https://openlearninglibrary.mit.edu/courses/course-v1:OCW+18.06SC+2T2019/about

11. (MIT) OCW 6.042J: Mathematics for Computer Science

• Course URL: https://openlearninglibrary.mit.edu/courses/course-v1:OCW+6.042J+2T2019/about

12. (MIT) OCW 6.S897: Machine Learning for Healthcare

• Course URL: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s897-machine-learning-for-healthcare-spring-2019/index.htm

13. (MIT) OCW 9.40: Introduction to Neural Computation

• Course URL: https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-40-introduction-to-neural-computation-spring-2018/

14. (MIT) Mathematics of Big Data and Machine Learning

• Course URL: https://ocw.mit.edu/resources/res-ll-005-mathematics-of-big-data-and-machine-learning-january-iap-2020/

15. (Carnegie Mellon) 10-708: Probabilistic Graphical Models

• Course URL: https://sailinglab.github.io/pgm-spring-2019/

16. (Michigan State University) CSE 842: Natural Language Processing (A Hands-on Introduction to Natural Language Processing (NLP))

• Course URL: https://github.com/deskool/nlp-class
• Lecture Video Playlist: https://www.youtube.com/channel/UCYGBs23woNtXUSl6AugHNXw

17. (Stanford) CS231n: Convolutional Neural Networks for Visual Recognition

• Course URL: http://cs231n.stanford.edu/
• Lecture Video Playlist: https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv

18. (UAustin): Optimization Algorithms

• Lecture Video Playlist: https://www.youtube.com/playlist?list=PLXsmhnDvpjORzPelSDs0LSDrfJcqyLlZc

19. (Cornell Tech) CS 5787: Applied Machine Learning Fall 2020

• Lecture Video Playlist: https://www.youtube.com/watch?v=vcE9WGbi4QY&list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83&ab_channel=VolodymyrKuleshov

20. Full Stack Deep Learning

• Course URL: https://course.fullstackdeeplearning.com/

• Lecture Video Playlist (2021): https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9

21. (Stanford) CS 329S: Machine Learning Systems Design

• Course URL: https://stanford-cs329s.github.io/syllabus.html

22. (MIT) RES.6-012 Introduction to Probability, Spring 2018

• Leture Video Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6

23. (MIT) 6.874 Computational Systems Biology: Deep Learning in the Life Sciences

• Course URL: https://mit6874.github.io/

24. (MIT) 6.S191 Introduction to Deep Learning

• Course URL: http://introtodeeplearning.com/
• Lecture Video Playlist: https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI

25. Deep Learning With PyTorch - Full Course

• Video https://www.youtube.com/watch?v=c36lUUr864M&feature=youtu.be&ab_channel=PythonEngineer

26. MIT Vision Seminar

• Twitter thread: https://twitter.com/xavierpuigf/status/1365361054516191234?s=20

27. Undergrad / Graduate Mathematical Courses:

• YouTube Channel: https://www.youtube.com/channel/UCIyDqfi_cbkp-RU20aBF-MQ/playlists

28. (Durham University) Deep Learning and Reinforcement Learning:

• Course URL: https://cwkx.github.io/teaching.html
• Deep Learning Lecture Video Playlist: https://www.youtube.com/playlist?list=PLMsTLcO6etti_SObSLvk9ZNvoS_0yia57
• Reinforcement Learning Lecture Video Playlist: https://www.youtube.com/playlist?list=PLMsTLcO6ettgmyLVrcPvFLYi2Rs-R4JOE

29. Machine Learning and Deep Learning News:

• Video Playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2K2Yw-h0C096pFhq_8O1Pnw

30. (Wisconsin-Madison) Stat453: Introduction to Deep Learning and Generative Models :

• Video Lecture Playlist(Spring 2020): https://www.youtube.com/playlist?list=PLTKMiZHVd_2JkR6QtQEnml7swCnFBtq4P
• Video Lecture Playlist(Spring 2021): https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51

31. (Tübingen University): Machine Learning Channel:

• Channel URL: https://www.youtube.com/channel/UCupmCsCA5CFXmm31PkUhEbA

32. (UC Berkeley) CS 182: Deep Learning

• Video Lecture Playlist (Spring 2021): https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A

33. (UC Berkeley) CS 285: Deep Reinforcement Learning

• Video Lecture Playlist (Fall 2020): https://www.youtube.com/playlist?list=PL_iWQOsE6TfURIIhCrlt-wj9ByIVpbfGc

34. (UofT) CSC2547: Introduction to Reinforcement Learning

• Course URL: https://amfarahmand.github.io/IntroRL/
• Video Lecture Playlist (Spring 2021): https://www.youtube.com/playlist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq

35. (OpenMined) The Private AI Series

• Course URL: https://courses.openmined.org/

36. Deep Learning Crash Course

• Video Lecture Playlist (2021): https://www.youtube.com/playlist?list=PLZSO_6-bSqHQsDaBNtcFwMQuJw_djFnbd

37. Practical Deep Learning for Coders

• Course URL: https://course.fast.ai/
• Course Video URL: https://www.youtube.com/watch?v=0oyCUWLL_fU

38. (CMU) CS11-747: Neural Nets for NLP 2021

• Video Lecture Playlist (2021): https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV

39. (UC Berkeley) CS W182: Designing, Visualizing and Understanding Deep Neural Networks

• Course URL: https://cs182sp21.github.io/
• Video Lecture Playlist (2021): https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A

40. (Harvard) Statistics 110 (Probability)

• Video Lecture Playlist: https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo

41. (TUM) Introduction to Deep Learning (I2DL)

• Video Lecture Playlist: https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk

42. (Stanford) CS330: Deep Multi-Task and Meta Learning

• Video Lecture Playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5

43. (ASU) Reinforcement Learning

• Video Lecture Playlist: https://www.youtube.com/playlist?list=PLmH30BG15SIp79JRJ-MVF12uvB1qPtPzn

44. (TUM) Advanced Deep Learning for Computer Vision (ADL4CV)

• Video Lecture Playlist: https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz

45. (TUM) Computer Vision 3: Detection, Segmentation and Tracking (CV3DST)

• Video Lecture Playlist: https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe

46. (NUS) CS5477/CS4277: 3D Computer Vision

• Video Lecture Playlist: https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ

47. (MIT) 6.0002: Intro to Computational Thinking and Data Science

• Course URL: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/
• Video Lecture Playlist:https://www.youtube.com/playlist?list=PLUl4u3cNGP619EG1wp0kT-7rDE_Az5TNd

48. Reproducible Deep Learning

• Course URL: https://www.sscardapane.it/teaching/reproducibledl/

49. Applied Deep Learning

• Course URL: https://github.com/maziarraissi/Applied-Deep-Learning
• Video Lecture Playlist:https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4

50. Made With ML

• Course URL: https://madewithml.com/

51. (Princeton) COS 302 / SML 305: Mathematics for Numerical Computing and Machine Learning

• Course URL: https://www.cs.princeton.edu/courses/archive/spring21/cos302/

52. AMMI Geometric Deep Learning Course

• Video Lecture Playlist:https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3

53. An Introduction to Statistical Learning

• Book URL: https://web.stanford.edu/~hastie/ISLR2/ISLRv2_website.pdf
• Online Course: https://www.dataschool.io/15-hours-of-expert-machine-learning-videos/

54. (CMU) Multimodal machine learning (MMML)

• Course URL: https://cmu-multicomp-lab.github.io/mmml-course/fall2020/

55. (CMU) Probabilistic Graphical Models (PGM)

• Course URL: https://sailinglab.github.io/pgm-spring-2019/

56. (École Polytechnique de Montréal) Machine Learning, Fall 2021:

• Course URL: https://chandar-lab.github.io/INF8245E/
• Video Lecture Playlist: https://www.youtube.com/watch?v=-6ChHxllZVU&list=PLImtCgowF_ETupFCGQqmvS_2nqErZbifm

57. (École Polytechnique de Montréal) Reinforcement Learning, Fall 2021:

• Video Lecture Playlist: https://www.youtube.com/watch?v=J9JZyyPCJcQ&list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua

58. (MIT) Artificial Intelligence, Fall 2010:

• Course URL: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/
• Video Lecture Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi

59. (Caltech) Learning From Data, 2012

• Course URL: https://home.work.caltech.edu/telecourse.html
• Video Lecture Playlist:http://www.youtube.com/playlist?list=PLD63A284B7615313A

60. (Tuebingen) Statistical Machine Learning 2020

• Course URL: https://www.tml.cs.uni-tuebingen.de/teaching/2020_statistical_learning/
• Video Lecture PlayList: https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC

61. (Tuebingen) Mathematics for Machine Learning

• Course URL: tml.cs.uni-tuebingen.de/teaching/2020_maths_for_ml/index.php
• Video Lecture PlayList: https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS

62. (IIT) Optimization for Machine Learning

• Course URL: https://www.cse.iitb.ac.in/~ganesh/cs769/
• Video Lecture PlayList: https://www.youtube.com/playlist?list=PLyo3HAXSZD3xk6Bc3Fri5-efbi4NKDtlO

63. Introduction to Deep Learning and Generative Modeling

• Video Lecture PlayList: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51

Books:

For Books check Here: 📖

Other Related Repos/ Lists/ Posts/ Blogs/ Talks:

1. My Personal DeepSense Blog

Blog URL: https://deepsense.ca/author/mgheibi/

2. Deep Learning Drizzle

Repo URL: https://github.com/kmario23/deep-learning-drizzle

3. Awesome MLOps

Repo URL : https://github.com/visenger/awesome-mlops

4. Computer Science courses with video lectures

Repo URL: https://github.com/Developer-Y/cs-video-courses

5. 10 Must Read ML Blog Posts

Post URL: https://elvissaravia.substack.com/p/10-must-read-ml-blog-posts

6. Christopher Olah's Blog

Blog URL: http://colah.github.io/

7. learning github repo

Repo URL: https://github.com/amitness/learning

8. MLOps resources Twitter thread by @omarsar0:

Thread URL: https://twitter.com/omarsar0/status/1393162095810723845?s=28

9. Geometric Deep Learning

• Webiste: https://geometricdeeplearning.com/
• Talk URL: https://slideslive.com/38956431/invited-talk-michael-bronstein

10. Mathematics for Machine Learning

Repo URL: https://github.com/dair-ai/Mathematics-for-ML

11. Principles Of Good ML Systems Design

• Talk URL: https://www.youtube.com/watch?app=desktop&v=t9cwk3zB7N0

12. VICReg: Tutorial and Lightweight PyTorch Implementation

• Tutorial URL: https://generallyintelligent.ai/open-source/2022-04-21-vicreg/