I was a bit overwhelmed by volume of datasets on https://t.co/8DOFywgAbp (thanks, @ramonaisonline!), so I built a quick @observablehq notebook to search through them! https://t.co/fbHsmY8fT7
— Mike Freeman (@mf_viz) May 11, 2021
I was a bit overwhelmed by volume of datasets on https://t.co/8DOFywgAbp (thanks, @ramonaisonline!), so I built a quick @observablehq notebook to search through them! https://t.co/fbHsmY8fT7
— Mike Freeman (@mf_viz) May 11, 2021
This #dataviz overview table is used by the @FT team to decide which visualization to use. It's a handy starting point. HT @martinstabe pic.twitter.com/k9RSUBJqCh
— Simon Kuestenmacher (@simongerman600) May 10, 2021
✨📊 ...and it's ready! Proud to announce:https://t.co/FuUDjPUNCJ
— 👩💻 Paige Bailey @ 127.0.0.1 🏡 #BLM (@DynamicWebPaige) May 4, 2021
Thinking in Data is a @Code extension pack designed to help users visualize, understand, and interact with data, inspired by @LostInTangent's brilliant Thinking in Code collection. ⭐️
📁 https://t.co/YpTTiCe4jR
I usually end up writing a small flask app but superintendent seems very nice https://t.co/WsDSGqfpFH
— Mickaël Le Tri (@mkletri) April 20, 2021
I'm using https://t.co/jVlUaV7Bcs. Easy to deploy and configure it.
— Nano (@_schnano) April 20, 2021
It has a lot of templates availaible to use. 😁
if you want to be incredibly niche, the MPEDS Annotation Interface ;)https://t.co/OhtMAOfe5I
— Dr. Alex Hanna (@alexhanna) April 20, 2021
seriously tho, it's the piece of dissertation code which has outlived the action "machine learning" part of my dissertation
{rvest} 1.0.0!
— RStudio (@rstudio) April 18, 2021
{rvest} helps you scrape (or harvest) data from web pages. It is designed to work with {magrittr} to make it easy to express common web scraping tasks
Improvement include better text and table handling.
Learn more on the #tidyverse blog. #rstats https://t.co/ACgpUqLIKX pic.twitter.com/rOzozQS9A4
Want to run your PyTorch training loop on multi-GPUs or TPUs without using an abstract class you can't control or tweak easily? Try out 🤗 Accelerate! https://t.co/12l2JYZL0w
— Sylvain Gugger (@GuggerSylvain) April 16, 2021
Einops simplifies and clarifies array/tensor manipulation. 👍
— Aurélien Geron (@aureliengeron) April 15, 2021
You really have to try it out, you'll love it: https://t.co/XzbSunPj4S
Plus it supports NumPy, TensorFlow, PyTorch, and more. pic.twitter.com/YiiwhSeW67
pytorchvideo: A deep learning library for video understanding research
— AK (@ak92501) April 15, 2021
github: https://t.co/oXc1YiASd4
The @scikit_learn team at @sklearn_inria has created a MOOC for getting started with scikit-learn! Go check it out! https://t.co/BUbDArJJDU
— Andreas Mueller (@amuellerml) April 14, 2021
You can leave feedback and suggestions (or make PRs) on the repo here: https://t.co/RCMWxqGWb2
Using PyTorch + NumPy? A bug that plagues thousands of open-source ML projects https://t.co/piVdQidmZH
— Andrej Karpathy (@karpathy) April 11, 2021
hah yes, a favorite super common super subtle bug 🐛. Bugs in deep learning silently make results slightly worse, pays to be v distrusting & defensive: https://t.co/5lBy4J77aS