The video for our #useR2020 tutorial is now available! π₯³
β Julia Silge (@juliasilge) August 2, 2020
You can find #rstats code to work through (as well as the slides) here:https://t.co/b2d2R5xCDc https://t.co/oQXaVnezGg
The video for our #useR2020 tutorial is now available! π₯³
β Julia Silge (@juliasilge) August 2, 2020
You can find #rstats code to work through (as well as the slides) here:https://t.co/b2d2R5xCDc https://t.co/oQXaVnezGg
A basic introduction to Attention, Transformers, & GPT, by @ilyasut, who considers Attention as the most important neural architectural advance since the LSTM. https://t.co/0IVL81QA5n pic.twitter.com/i1Qz0YTZEC
β Reza Zadeh (@Reza_Zadeh) July 19, 2020
Oh no! Reached the end of the #SciPy2020 ML playlist! But it ended with a bang! Remember Ray (the distr. Pandas lib.)? It evolved into a whole ecosystem for workflows that are (now) overlapping (ML training, serving, etc). Great talk by @robertnishihara : https://t.co/oYEhU9d7x0 pic.twitter.com/9sujKBkmiu
β Sebastian Raschka (@rasbt) July 13, 2020
Short educational talks on various PyTorch topics such as the latest updates, Pruning, Torchaudio, PyTorch3D, PyTorch Mobile Runtime on iOS/Android and more are now available on the PyTorch YouTube Channel. https://t.co/VjTtdbvOnJ
β PyTorch (@PyTorch) July 6, 2020
If you want to get up to speed with #ggplot2 and its extended universe of packages I've released free recordings of my "Plotting Anything with ggplot2" workshop. Have fun! #rstats https://t.co/LxwwSsESQMhttps://t.co/uZda0KRAgp
β Thomas Lin Pedersen (@thomasp85) July 3, 2020
~4.5h of video so find a comfy chairπ
Captum is a model interpretability library for PyTorch which offers a number of attribution algorithms that help understand the importance of input feature, and hidden neurons and layers. Check out this deep dive to learn more:https://t.co/pE4NG6s8lv
β PyTorch (@PyTorch) July 2, 2020
Ever wondered what Bayesians are so excited about? Here's a walkthrough of a couple of mostly-correct examples for the newbie.https://t.co/LdMfV1l02U
β Brandon Rohrer (@_brohrer_) June 22, 2020
βStanford has another fantastic NLP course which is also freely available online taught by a world renowned NLP researcher, academic, and author. The course in is From Languages to Information (CS124), and it is taught by Dan @Jurafsky.β https://t.co/FhVbzhX8XW
β Stanford NLP Group (@stanfordnlp) June 3, 2020
Nice/fun YouTube channel walking through recent papers in deep learning in a video format, this episode on GPT-3. Cool! :) https://t.co/9QyKkgSH8Q
β Andrej Karpathy (@karpathy) May 29, 2020
This neural network can think faster than it talks.https://t.co/CGRHVVFGtT@facebookai @ylecun
β Yannic Kilcher (@ykilcher) May 16, 2020
The semester ended, so now you can find the full 2020 edition of my applied machine learning lecture on youtube: https://t.co/fWUw1oCs62
β Andreas Mueller (@amuellerml) May 9, 2020
It's 21 lectures this year, updated and adjusted from last year.
Slides and much more are here:https://t.co/9Rtzg4lgPQ
Something a little different for my livestream tomorrow: instead of live coding I'm going to be doing a paper reading! We'll be reading "A Primer in BERTology: What we know about how BERT works" by @annargrs, Olga Kovaleva & @arumshisky. Come join. πβοΈπhttps://t.co/iHymNuwVuX
β Rachael Tatman (@rctatman) May 5, 2020