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computer graphics / computer vision / machine learning courses
https://github.com/seokg/awesome-courses

List: awesome-courses

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computer graphics / computer vision / machine learning courses

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# Awesome Courses

computer graphics, computer vision, and machine learning courses



## Computational Photography

* `CS178` Stanford Computational Photography (Marc Levoy) [[link]](https://sites.google.com/site/marclevoylectures/) [[link2]](http://graphics.stanford.edu/courses/cs178-09/)

* CMU Computational Photography [[link]](http://graphics.cs.cmu.edu/courses/15-463/2007_fall/][[link]][http://graphics.cs.cmu.edu/courses/15-463/2010_spring/)

* `CS510` Portland Computational Photography [[link]](http://web.cecs.pdx.edu/~fliu/courses/cs510/index.htm)



## Computer Graphics

* CMU 15-462/662 Computer Graphics [[video]](https://www.youtube.com/watch?v=W6yEALqsD7k&list=PL9_jI1bdZmz2emSh0UQ5iOdT2xRHFHL7E) 

* Stanford all Graphics courses [[link]](https://graphics.stanford.edu/courses/)

* `CS348K` Stanford [[link]](http://graphics.stanford.edu/courses/cs348v-18-winter/)

* Scratchapixel 2.0 [[link]](https://www.scratchapixel.com/index.php?redirect)

* Cat like Coding [[link]](https://catlikecoding.com)



## Computer Vision

* `CS131` Stanford Computer Vision: Foundations and Applications [[link]](http://vision.stanford.edu/teaching/cs131_fall1718/index.html)[[link2]](http://cs131.stanford.edu)

* `CS231A` Stanford Computer Vision, From 3D Reconstruction to Recognition [[link]](https://web.stanford.edu/class/cs231a)

* `CS231M` Stanford Mobile Computer Vision [[link]](https://web.stanford.edu/class/cs231m/)

* `CS205A` Mathematical Methods for Robotics, Vision, and Graphics [[link]](https://graphics.stanford.edu/courses/cs205a-13-fall/schedule.html)[[code]](https://www.cs.toronto.edu/~duvenaud/courses/csc2541/index.html)

* `CS664` Cornell Computer Vision [[link]](http://www.cs.cornell.edu/courses/cs664/2008sp/)

* Oxford Vision [[link]](http://www.robots.ox.ac.uk/~az/lectures/index.html)

* `CAP5415` UCF Computer Vision [[link]](http://www.cs.ucf.edu/~mtappen/cap5415/)

* ETH 3D Vision [[link]](http://www.cvg.ethz.ch/teaching/3dvision/courseSchedule.php)

* UW [[link]](https://pjreddie.com/courses/computer-vision/)

* UW 2009wi [[link]](https://courses.cs.washington.edu/courses/cse455/09wi/)

* `CS410` Portland Computer Vision [[link]](http://web.cecs.pdx.edu/~fliu/courses/cs410/index.htm)

* HDU Multi-View Geometry [[link]](https://www.youtube.com/playlist?list=PLoJdZ7VvEiRNQwM3pcwHWwLQutIYMs4KK&fbclid=IwAR3sVumTxv2lWyksGql_KU6ZlwdjhpvtvYAetJkJvQ9CNZO96YghRVK6zvw)

* `KCCV2019` presentation [[link]](https://drive.google.com/drive/folders/1_oFtWc3gWO0blv3CuvwkKX3IVyYIZacf?fbclid=IwAR2wNicqj96Ai9r7HK__I205C0Mj-9FZMgjtBFCgVmxO4lbpzyZxjXvuFHo)



## Deep Learning

* `CS231n` Stanford CNN [[link]](http://cs231n.stanford.edu/)

* `CS294` Stanford Unsupervised Learning [[link]](https://sites.google.com/view/berkeley-cs294-158-sp19/home)

* `CS236` Stanford Deep Generative Models [[link]](https://deepgenerativemodels.github.io/)

* `CS224W` Stanford Machine Learning with Graphs [[link]](http://web.stanford.edu/class/cs224w/)

* Stanford Deep Multi-Task and Meta Learning [[link]](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5&fbclid=IwAR1uNWlGfrjN-OCea3UPMeNB7XTTGpCPCJdKJBm1WfvBACZ9VAciXfvdbW4)

* Stanford all AI courses [[link]](http://ai.stanford.edu/courses/)

* `CS2541` Toronto Differentiable Inference and Generative Model  [[link]](https://www.cs.toronto.edu/~duvenaud/courses/csc2541/index.html)

* EPFL Deep Learning [[link]](https://documents.epfl.ch/users/f/fl/fleuret/www/dlc/)

* University Amsterdam [[link]](https://mlvu.github.io)

* DGIST [[link]](https://github.com/InfolabAI/DeepLearning)



## Machine Learning

* UC Berkeley AI [[link]](http://ai.berkeley.edu/home.html)

* `CS205L` Stanford Continuous Mathematical Methods with an Emphasis on Machine Learning [[link]](http://web.stanford.edu/class/cs205l/)

* `CS228` Stanford Probabilistic Graphical Models: Principles and Techniques  [[link]](https://cs228.stanford.edu/)

* UBC Machine Learning [[link]](https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6)



## Workshop

* GNN [[link]](http://cse.msu.edu/~mayao4/tutorials/aaai2020/?fbclid=IwAR11OVtkSjXKFtA06St2c6wZxQGmXJN2CfYdyoYSuWxmo7SSFfdh5k38dd8)

* CreativeAI [[link]](https://geometry.cs.ucl.ac.uk/creativeai/)

* Computer Vision for Fashion, Art and Design [[eccv2018]](https://sites.google.com/view/eccvfashion) [[iccv2019]](https://sites.google.com/view/cvcreative/)



## ETC

* `EE263` Stanford Introduction to Linear Dynamical Systems [[link]](http://ee263.stanford.edu)

* Immesive Linear Algebra [[link]](http://immersivemath.com/ila/index.html)

* CMU Human Motion Modeling and Analysis [[link]](http://www.cs.cmu.edu/~yaser/Fall2012_15869.html)

* `CS294` Stanford Applied Linear Algebra [[link]](https://sites.google.com/view/berkeley-cs294-158-sp19/home)

* `EE267` Stanford VR [[link]](https://stanford.edu/class/ee267/syllabus.html)

* `STAT479` Univ. Wisconsin-Madison STATS [[link]](https://github.com/rasbt/stat479-machine-learning-fs19?fbclid=IwAR2enpn5S9o2mwqL0_dpgC1cSmRmTaSP-QSGA5kO5AIrWY4kDUkXhH1YPUw)

* 10 Free Online Courses on ML [[link]](https://twitter.com/chipro/status/1157772112876060672?fbclid=IwAR1p_hMoxuPfq_L7z4F5_XDavCo1QDE68Iop8ge8WG2l-YwRoavmoGSmpQ4)