He suggested my earlier blog post to understand sketch-rnn:https://t.co/nXK2rJ2reR
— hardmaru (@hardmaru) January 4, 2019
This Keras implementation has other goodies like using CuDNN LSTM for training and CPU for inference. The repo might be a nice example for building Keras models that require customized features: pic.twitter.com/QbseKBMfPj
Introduction to Pandas' MultiIndexes https://t.co/GZHBaYHMti
— PyCoder’s Weekly (@pycoders) December 31, 2018
New blog post! Use #rstats, Stanford's CoreNLP, cleanNLP, and tidytext to explore the most common and distinctive nouns and verbs in the Qur'an—all in Arabic! https://t.co/mqkca17a2r pic.twitter.com/hDFqWmeA5Y
— Andrew Heiss, PhD (@andrewheiss) December 28, 2018
OH WAIT HERE'S THE LINKhttps://t.co/I5D7LtDObP
— alex hayes (@alexpghayes) December 25, 2018
🎁 Day 24 #rstats #devAdvent
— Mara Averick (@dataandme) December 24, 2018
👋 Suzan Baert (@SuzanBaert) https://t.co/32F4Mhl1oc
👩🏫 Legendary deep-dive tutorials
🔖 Bookmark and resources collection like woah https://t.co/ir0DaZcjGi
💜 Serious knowledge 💣s in her week as @WeAreRLadies curator…https://t.co/yOJIjmGctH
A Practical Guide to Adopting Python Types by Roy Williams. https://t.co/ra6pNCD9E4. This talk will go over the basics of types in Python, the current ecosystem & then go into detail on how teams can quickly type large chunks of their codebase using pyannotate.
— Python Software (@ThePSF) December 22, 2018
A Tutorial on Deep Latent Variable Models of Natural Language #EMNLP
— ML Review (@ml_review) December 21, 2018
By @HarvardNLP
Notebookhttps://t.co/JRpINozCA4
ArXiv [48pp]https://t.co/yUMy65GbZn pic.twitter.com/SWf9NVOHGV
This is a *great* walkthru of implementing a new research paper from scratch with fastai and @PyTorch . And the results are impressive - fast and accurate NLP models! :) https://t.co/q0kHF404Tb
— Jeremy Howard (@jeremyphoward) December 11, 2018
How to build an image duplicate finder by @inghamfran https://t.co/wD1RHs0PCe
— Jeremy Howard (@jeremyphoward) December 11, 2018
Great work that's now in the fastai lib. Even shows examples of finding errors in some popular datasets!
(PS: he's on the job market and you should hire him)
Standardizing on Keras: Guidance on High-level APIs in TensorFlow 2.0.
— TensorFlow (@TensorFlow) December 6, 2018
Read the article here ↓ https://t.co/JrkJaOSAjt
I’m still blown away by @ModernDive’s intuitive simulation-based approach to hypothesis testing.
— 🎄❄️ Andrew Heiss, festive PhD ❄️🎄 (@andrewheiss) December 6, 2018
Here’s a full #rstats example of how to use the infer package to see if women work in the public sector more than the private, using new World Bank data https://t.co/6bbPRyf1th pic.twitter.com/Qodl8iGhob
New tutorial by @animateddata dropped today. Mapping geographic paths, making them interactive, and making things move https://t.co/JIOAf46DAv
— Nathan Yau (@flowingdata) December 5, 2018
