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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A collection of video resources for machine learning
| Date | Stars |
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| 2026-07-31 | 1553 |
| 2026-08-06 | 1553 |
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# Machine Learning Videos This is a collection of recorded talks at machine learning conferences, workshops, seminars, summer schools, and miscellaneous programs. It is actively maintained; please add to this list by submitting a pull request! This collection builds off the original compilation from [a blog post](http://dustintran.com/blog/video-resources-for-machine-learning). ## General In general the following are excellent resources: + [VideoLectures.NET](http://videolectures.net/) is the primary video archive for machine learning. Much of its content focuses on the field, incorporating conferences, workshops, lectures, and even discussions. + [TechTalks.tv](http://techtalks.tv/) is the second most used archive. Notably, many ICML videos are located here. + [Slideslive](https://slideslive.com/) is recently being used by the ML community. Eg: ICML, NeurIPS, ICLR. + [Youtube](http://youtube.com/) contains a few, such as certain AISTATS and ICLR years. It's best for collecting lectures, such as by [Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu) and [Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn). Also, the user [mathematicalmonk](https://www.youtube.com/user/mathematicalmonk) has created several basic mathematical and probability overviews for many [ML methods](https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA). + [Models, Inference, & Algorithms](https://www.broadinstitute.org/scientific-community/science/mia/models-inference-algorithms) at the Broad Institute of MIT and Harvard has slide decks and a growing [playlist](https://www.youtube.com/playlist?list=PLlMMtlgw6qNjROoMNTBQjAcdx53kV50cS) on machine learning for biomedical research. ## 2020 + [Conference on Learning Theory](https://www.youtube.com/playlist?list=PLCHBdlWR7RYw4LAGsUrCLamYRnBf9pTTT) + [Conference on Computer Vision and Pattern Recognition - Papers, Workshops, Tutorials](https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/playlists) + [International Conference on Machine Learning](https://slideslive.com/icml-2020) + International Conference on Learning Representations ([Keynote+Q&A](https://iclr.cc/virtual_2020/calendar.html)) ([Papers](https://iclr.cc/virtual_2020/papers.html?filter=keywords/)) + [AAAI Conference on Artificial Intelligence](https://aaai.org/Conferences/AAAI-20/livestreamed-talks/) ## 2019 + [Neural Information Processing Systems - Papers, Tutorials and Workshops](https://slideslive.com/neurips) + [Cognitive Computational Neuroscience](https://ccneuro.org/2019/videos.asp) + [Annual Conference of the North American Chapter of the Association for Computational Linguistics](https://vimeo.com/channels/1503729) + [International Joint Conference on Artificial Intelligence](https://www.facebook.com/pg/ijcai/videos) + [Conference on Learning Theory](https://www.youtube.com/playlist?list=PLCHBdlWR7RYz4jx6NPdnI_1rP3kj0E3G8) + International Conference on Computer Vision ([Oral Session](https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/videos)) + Conference on Computer Vision and Pattern Recognition ([Oral Session](https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/videos)) + [International Conference on Machine Learning](https://www.facebook.com/pg/icml.imls/videos/), alternate link ([[1]](https://slideslive.com/icml)) + [Learning for Dynamics and Control](https://l4dc.mit.edu/videos/) + [International Conference on Learning Representations](https://www.facebook.com/pg/iclr.cc/videos/?ref=page_internal) ([Workshops](https://slideslive.com/iclr/)) + [AAAI Conference on Artificial Intelligence](https://videos.videoken.com/index.php/videoscategory/aaai-2019/) ## 2018 + [Cognitive Computational Neuroscience](https://ccneuro.org/2018/videos.asp) + [Empirical Methods on Natural Language Processing](https://vimeo.com/channels/1427394) + [Annual Meeting of the Association for Computational Linguistics](https://vimeo.com/showcase/5391494) + [Ne
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Read on GitHubSri Krishna · India
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Dustin Tran · Google DeepMind · United States
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Artëm Sobolev
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5a36b4a5ee4255e1, llm:Repository description and README: 'A collection of video resources for machine learning'; topics include 'conference, machine-learning, statistics, summer-schools, video, workshops'.