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kmario23 / deep-learning-drizzle

  • понедельник, 28 января 2019 г. в 00:18:53
https://github.com/kmario23/deep-learning-drizzle


Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!



🎉 Deep Learning Drizzle 🎊

S.No Course Name University/Teacher(s) Course WebPage Lecture Videos Year
1. Neural Networks for Machine Learning Geoffrey Hinton, University of Toronto Lecture-Slides
CSC321-tijmen		 YouTube-Lectures
mirror		 2012
2014
2. Deep Learning at Oxford Nando de Freitas, Oxford University Oxford-ML YouTube-Lectures 2015
3. CS231n: CNNs for Visual Recognition Andrej Karpathy, Stanford University CS231n None 2015
4. CS231n: CNNs for Visual Recognition Andrej Karpathy, Stanford University CS231n YouTube-Lectures 2016
5. CS231n: CNNs for Visual Recognition Justin Johnson, Stanford University CS231n YouTube-Lectures 2017
6. CS224d: Deep Learning for NLP Richard Socher, Stanford University CS224d YouTube-Lectures 2015
7. CS224d: Deep Learning for NLP Richard Socher, Stanford University CS224d YouTube-Lectures 2016
8. CS224n: NLP with Deep Learning Richard Socher, Stanford University CS224n YouTube-Lectures 2017
9. Neural Networks Hugo Larochelle, Université de Sherbrooke Neural-Networks YouTube-Lectures 2016
10. CS229: Machine Learning Andrew Ng, Stanford University CS229 YouTube-Lectures-2014 2017
11. Deep Learning Andrew Ng, Stanford University CS230 None 2018
12. Bay Area Deep Learning Many legends None YouTube-Lectures 2016
13. UvA Deep Learning Efstratios Gavves, University of Amsterdam(UvA) UvA-DLC Lecture-Videos 2018
14. Advanced Deep Learning and Reinforcement Learning Many legends, DeepMind None YouTube-Lectures 2018
15. Deep Learning Francois Fleuret, EPFL EE-59 None 2019
16. Deep Learning Francois Fleuret, EPFL EE-59 Video-Lectures 2018
17. Deep Learning for Perception Dhruv Batra, Virginia Tech ECE-6504 YouTube-Lectures 2015
18. Introduction to Deep Learning Alexander Amini, Harini Suresh, MIT 6.S191 YouTube-Lectures 2018
19. Deep Learning for Self-Driving Cars Lex Fridman, MIT 6.S094 YouTube-Lectures 2017-2018
20. MIT Deep Learning Many Researchers,
Lex Fridman, MIT		 6.S094, 6.S091, 6.S093 YouTube-Lectures 2019
21. Introduction to Deep Learning Biksha Raj and many others, CMU 11-485/785 YouTube-Lectures Spring-2018
22. Introduction to Deep Learning Biksha Raj and others, CMU 11-485/785 YouTube-Lectures Fall-2018
23. Deep Learning Specialization Andrew Ng, Stanford DeepLearning.AI YouTube-Lectures 2017-2018
24. Deep Learning Ali Ghodsi, University of Waterloo STAT-946 YouTube-Lectures Fall-2015
25. Deep Learning Ali Ghodsi, University of Waterloo STAT-946 YouTube-Lectures Fall-2017
26. Deep Learning, Feature Learning Many legends, IPAM UCLA GSS-2012 YouTube-Lectures 2012
27. New Deep Learning Techniques Many Legends, IPAM UCLA IPAM-Workshop YouTube-Lectures 2018
28. Deep|Bayes Many Legends DeepBayes.ru YouTube-Lectures 2018
-1. Deep Learning Book companion videos Ian Goodfellow and others DL-book slides YouTube-Lectures 2017

🎢 General Machine Learning 💥

S.No Course Name University/Teacher(s) Course Webpage Video Lectures Year
1. Learning from Data Yaser Abu-Mostafa, CalTech CS156 YouTube-Lectures 2012
2. Machine Learning Rudolph Triebel, TUM Machine Learning YouTube-Lectures 2013
3. Introduction to Machine Learning Dhruv Batra, Virginia Tech ECE-5984 YouTube-Lectures 2015
4. Statistical Learning - Classification Ali Ghodsi, University of Waterloo STAT-441 YouTube-Lectures 2015
5. Statistical Learning - Classification Ali Ghodsi, University of Waterloo None YouTube-Lectures 2017
6. Machine Learning Andrew Ng, Stanford University Coursera-ML YouTube-Lectures 2017

🎈 Reinforcement Learning ♨️ 🎮

S.No Course Name University/Teacher(s) Course Webpage Video Lectures Year
1. Approximate Dynamic Programming Dimitri P. Bertsekas Lecture-Slides YouTube-Lectures 2014
2. Introduction to Reinforcement Learning David Silver, DeepMind UCL-RL YouTube-Lectures 2015
3. Reinforcement Learning Balaraman Ravindran, IIT Madras RL-IITM YouTube-Lectures 2016
4. Deep Reinforcement Learning Sergey Levine, UC Berkeley CS-294 YouTube-Lectures Spring-2017
5. Deep Reinforcement Learning Sergey Levine, UC Berkeley CS-294 YouTube-Lectures Fall-2017
6. Deep Reinforcement Learning Sergey Levine, UC Berkeley CS-294-112 YouTube-Lectures 2018
7. Deep RL Bootcamp Many legends Deep-RL YouTube-Lectures 2017
8. Reinforcement Learning Pascal Poupart, University of Waterloo CS-885 YouTube-Lectures 2018
9. Deep Reinforcement Learning and Control Katerina Fragkiadaki and Tom Mitchell, CMU 10-703 YouTube-Lectures 2018

📢 Probabilistic Graphical Models - (Foundation for Graph Neural Networks) ✨

S.No Course Name University/Teacher(s) Course WebPage Lecture Videos Year
1. Probabilistic Graphical Models Many Legends, MPI-IS MLSS-Tuebingen YouTube-Lectures 2013
2. Probabilistic Modeling and Machine Learning Zoubin Ghahramani, University of Cambridge WUST-Wroclaw YouTube-Lectures 2013
3. Probabilistic Graphical Models Eric Xing, CMU 10-708 YouTube-Lectures 2014
4. Probabilistic Graphical Models Nicholas Zabaras, University of Notre Dame PGM YouTube-Lectures 2018

🌺 Natural Language Processing - (More Applied) 🌸

S.No Course Name University/Teacher(s) Course WebPage Lecture Videos Year
1. Deep Learning for Natural Language Processing Many Legends, DeepMind-Oxford DL-NLP YouTube-Lectures 2017
2. Neural Networks for Natural Language Processing Graham Neubig, CMU NN4NLP YouTube-Lectures 2017
3. Neural Networks for Natural Language Processing Graham Neubig, CMU NN4-NLP YouTube-Lectures 2018
4. Neural Networks for Natural Language Processing Graham Neubig, CMU NN4NLP YouTube-Lectures 2019

🔥 Modern Computer Vision 🎥 📷

S.No Course Name University/Teacher(s) Course WebPage Lecture Videos Year
1. Convolutional Neural Networks Andrew Ng, Stanford DeepLearning.AI YouTube-Lectures 2017
2. Variational Methods for Computer Vision Daniel Cremers, TUM VMCV YouTube-Lectures 2017
3. Deep Learning for Visual Computing Debdoot Sheet, IIT-Kgp Nptel
Notebooks		 YouTube-Lectures 2018
4. Autonomous Navigation for Flying Robots Juergen Sturm, TUM Autonavx YouTube-Lectures 2014
5. SLAM - Mobile Robotics Cyrill Stachniss, Universitaet Freiburg RobotMapping YouTube 2014

To-Do 🏃

⬜️ Computer Vision courses which are DL & ML heavy

⬜️ NLP courses which are DL, RL, & ML heavy

⬜️ Speech recognition courses which are DL heavy

⬜️ Add courses on Graph Neural Networks

⬜️ Add DL/RL Summer School lectures

Contributions 🙏

If you find a course that fits in any of the above categories (i.e. DL, ML, RL, CV, NLP), and the course has lecture videos (with slides - optional), then please raise an issue or send a PR by updating the course according to the above format.

Thanks!