It is Gaussian Process time! Summer School just started. This year you can follow it live on YouTube! https://t.co/kLhAdd05Be https://t.co/jDnQKYiUvk @maalvarezl @lawrennd @wilkinson_rich #2020GPSS
— Javier González (@javiergonzh) September 14, 2020
It is Gaussian Process time! Summer School just started. This year you can follow it live on YouTube! https://t.co/kLhAdd05Be https://t.co/jDnQKYiUvk @maalvarezl @lawrennd @wilkinson_rich #2020GPSS
— Javier González (@javiergonzh) September 14, 2020
Communicating with Interactive Articles -- A new Distill article by @fredhohman, @mathisonian, @jeffrey_heer, and @polochau.https://t.co/1od6Fgc3H8
— Distill (@distillpub) September 11, 2020
The full hands-on tutorials, "Building Recommender Systems with PyTorch", are now available. We show how to build deep learning recommendation system and resolve the associated interpretability, integrity, and privacy challenges. See: https://t.co/vaqkdhpvyr
— PyTorch (@PyTorch) September 10, 2020
With @rapidsai, @huggingface, @PyTorch & @dask_dev we show how to scale state of the art #NLP. #strongertogether! Over 2x faster than prior #GPU implementations, 450x faster subword tokenizer, & most importantly better accuracy. Learn more https://t.co/onS8t75vPk & try it today!
— RAPIDS AI (@rapidsai) September 9, 2020
What is this magical work?!! Just stumbled across this today after an #rstats rabbithole: @EmilyRiederer is co-writing a fantastic R Markdown Cookbook with @xieyihui @chrisderv- I'm really excited to read this and learn some new #rmarkdown tips and tricks! https://t.co/THQtpRvc3o
— Angela Li (@CivicAngela) September 7, 2020
Saddle Point https://t.co/eZ2bbpDzwV pic.twitter.com/AcazMT5uLc
— Chris Albon (@chrisalbon) September 4, 2020
Aditya Oke wrote a beginner tutorial on how to create a simple image search engine using PyTorch. The blog post walks through using auto-encoder, managing the dataset, training and saving the feature representations, and more with actual code samples. https://t.co/fUUhCcPDhw
— PyTorch (@PyTorch) September 2, 2020
Catalyst is a PyTorch library that helps you write DL pipelines with a few lines of code. It now offers metric learning, enabling feature extractor by mapping objects from the same class into the nearest points and distancing points for different classes. https://t.co/UDQLRJxrBk
— PyTorch (@PyTorch) September 2, 2020
New code example on https://t.co/m6mT8SrKDD: probability distribution density estimation using RealNVP https://t.co/K5cfQTVPBy
— François Chollet (@fchollet) September 1, 2020
Chi-Squared https://t.co/eZ2bbpDzwV pic.twitter.com/K42BEGJ25k
— Chris Albon (@chrisalbon) September 1, 2020
New on the @rstudio #AI blog: An introduction to weather prediction with #DeepLearning https://t.co/AgjliiLlqj #rstats
— RStudio (@rstudio) September 1, 2020
good quick tutorial on optimizing your PyTorch code ⏲️: https://t.co/7CIDWfrI0J
— Andrej Karpathy (@karpathy) August 30, 2020
quick summary: pic.twitter.com/6J1SJcWJsl