Learn how to use the Determined AI platform to offload common infrastructure problems such as scaling training and hyperparameter tuning when developing #PyTorch models. https://t.co/tNYbSMZ3pz
β PyTorch (@PyTorch) February 1, 2021
Learn how to use the Determined AI platform to offload common infrastructure problems such as scaling training and hyperparameter tuning when developing #PyTorch models. https://t.co/tNYbSMZ3pz
β PyTorch (@PyTorch) February 1, 2021
If you want to find out what the new @spacy_io v3 is all about, check out this video I recorded with @honnibal π We're walking you through some of the most exciting new features!
β Ines Montani γ°οΈ (@_inesmontani) February 1, 2021
πΊ Watch it here: https://t.co/y0UYh7py3d pic.twitter.com/6HpnvmrAco
Have you heard about this nbdev thing but wondering what its really like to write code in it?
β Hamel Husain (@HamelHusain) January 27, 2021
Watch me as I live-code a nbdev project from scratch π πβ¨
Thanks to @NorthwesternU for hosting the eventhttps://t.co/sOXb2unMGg
GPU accelerated feature engineering on @Kaggle? Yes Please! Check out our latest post showing how you can use NVTabular and @RAPIDSai to speed up workflows by 11x and training of @fastdotai on Kaggle by 2x in this great blog post by Benedikt Schifferer: https://t.co/4FK4xA2Rij
β Even Oldridge (@Even_Oldridge) January 26, 2021
I have no idea how @wjb_mattingly finds time to produce so much content, but this YouTube channel is a real treasure trove of NLP, ML, Python and @spacy_io tutorials, for Digital Humanities & beyond, from hands-on applied NER to analyzing Latin π€
β Ines Montani γ°οΈ (@_inesmontani) January 21, 2021
πΊ https://t.co/8aKFe8HtNr pic.twitter.com/jL3JFHzvj3
New code walkthrough on https://t.co/m6mT8SrKDD: the Vision Transformer model. Perform image classification *without convolutions* by applying a Transformer to vector encodings of image patches. Created by Khalid Salama.https://t.co/EanhDyZpa5
β FranΓ§ois Chollet (@fchollet) January 19, 2021
Small Docker Images with Condahttps://t.co/Cmp2WSQYuW
β Matthew Rocklin (@mrocklin) January 19, 2021
This small blogpost from @jcristharif is old, but keeps coming up at work. I thought I'd retweet it out here for others.
My talk on "Interpretable ML - A Brief History, State-of-the-Art and Challenges" is on YouTube: https://t.co/aNqKU9mh7C https://t.co/NdJc4EsXFb
β Christoph Molnar (@ChristophMolnar) January 15, 2021
This is really is a great tutorial/example for implementing a transformer from scratch, https://t.co/lU9EeIA15b https://t.co/KUNybhM8qz pic.twitter.com/NoSTauAN86
β Sebastian Raschka (@rasbt) January 13, 2021
How to Use Conda With Github Actions, by @autobencoder https://t.co/835fkMiq6x
β Jeremy Howard (@jeremyphoward) December 31, 2020
NumPy Illustrated: The Visual Guide to NumPy, by @LevMaximov
β hardmaru (@hardmaru) December 23, 2020
A nice visual guide to basic NumPy operations, vectorized computation, broadcasting, tiling/repeating/sorting ops.https://t.co/qYTzcsDw8I
Aviral Kumar and I have posted our NeurIPS offline reinforcement learning tutorial on YouTube for your enjoyment :)
β Sergey Levine (@svlevine) December 17, 2020
Slides, colab exercise, etc.: https://t.co/S639WkAroh
Part 1: https://t.co/OozPaXLVhF
Part 2: https://t.co/MPLhyipS1K