🎉 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!

shaunstanislauslau / deep-learning-drizzle Goto Github PK