Sweet 📦 by @jacobandrewlong w/ nice vignettes!
— Mara Averick (@dataandme) May 23, 2019
🧰 "interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions" https://t.co/fF5fLLYvq4 #rstats #dataviz pic.twitter.com/EGrjzwOkBN
Sweet 📦 by @jacobandrewlong w/ nice vignettes!
— Mara Averick (@dataandme) May 23, 2019
🧰 "interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions" https://t.co/fF5fLLYvq4 #rstats #dataviz pic.twitter.com/EGrjzwOkBN
0.7 is live! @RAPIDSai is moving on up in the best of ways. More bridges fewer walls between RAPIDS & @XGBoostProject, @PyTorch, @numba_jit, @GCPcloud, & so many more! @Dask_dev & #GPU keeps improving (@openucx integration coming in 0.8/0.9)... just WOOT! https://t.co/FMChrO5gLc
— Joshua Patterson (@datametrician) May 22, 2019
Excited to share some of the work I've been doing at @NvidiaAI on @rapidsai, working with @cmgreen210 and @nkoumchatzky on deep learning for tabular data. We're just getting started down this road, but we've taken the first step. Check out the blog: https://t.co/cM1fnb4Tzs
— Even Oldridge (@Even_Oldridge) May 22, 2019
The scikit-learn ColumnTransformer is a huge game changer. It alleviates so many previous headaches, bad practices, & erroneous results. Each set of columns can have its own pipeline. The end result can be a single estimator that does all the transformations & makes a prediction pic.twitter.com/wPjaRWUd2S
— Ted Petrou (@TedPetrou) May 22, 2019
Pythia, an interesting new library that sits on top of PyTorch, with a modular, somewhat plug-and-play approach: https://t.co/CHRfleJCQ3
— Sebastian Raschka (@rasbt) May 21, 2019
More open source stuff from FAIR.https://t.co/dgF3v0phzE https://t.co/dgF3v0phzE
— Yann LeCun (@ylecun) May 21, 2019
stumpy - A powerful and scalable Python library that can be used for a variety of time series data mining tasks https://t.co/IybDlFAUqj #python #datamining pic.twitter.com/MoENbdG0no
— Python Weekly (@PythonWeekly) May 21, 2019
👑 A Shiny app lets you search for names…
— Mara Averick (@dataandme) May 21, 2019
🤔 "Who named their kid Daenerys or Khaleesi?" https://t.co/nWsUUF022t #rstats pic.twitter.com/K92XcFq0jN
healthchecks - A Cron Monitoring Tool written in Python & Django. https://t.co/zPhAf4Pc2f #python #django #cron pic.twitter.com/zzjfZbcdPC
— Python Weekly (@PythonWeekly) May 20, 2019
Brand new library for transfer learning in NLP from @PeterMartigny and Feedly team. I am inspired that they built this on top of our #NLProc book. https://t.co/gPVP3VXo5f pic.twitter.com/SQSKac5XXm
— Delip Rao (@deliprao) May 20, 2019
Scikit-learn 0.21 is out! Including the new HistGradientBoostingClassifier/Regressor by @hug_nicolas that implements lightgbm and should match or improve over xgboost performance. Full changelog here: https://t.co/YZfvGg4XQt Also, there's now an option for a nicer __repr__!
— Andreas Mueller (@amuellerml) May 17, 2019
🎨 Fun idea, and 👍 post, too!
— Mara Averick (@dataandme) May 16, 2019
📺 "Introducing {tvthemes}: ggplot2 palettes & themes from your favorite TV shows!" by @R_by_Ryo https://t.co/XzOLDnnYnh #rstats #dataviz pic.twitter.com/nphoEiMc0T