A Visual Debugging Tool for Sequence-to-sequence Models #ieeevis
— ML Review (@ml_review) July 16, 2018
By @harvardnlp @IBMResearch @henddkn @S_Gehrmann
Githubhttps://t.co/9ubmBVQNqn
ArXivhttps://t.co/HHlNdnYxGP pic.twitter.com/goyDJiHPYb
A Visual Debugging Tool for Sequence-to-sequence Models #ieeevis
— ML Review (@ml_review) July 16, 2018
By @harvardnlp @IBMResearch @henddkn @S_Gehrmann
Githubhttps://t.co/9ubmBVQNqn
ArXivhttps://t.co/HHlNdnYxGP pic.twitter.com/goyDJiHPYb
Pytorch implementation of CoordConv https://t.co/hRo7b2VdRg #deeplearning #machinelearning #ml #ai #neuralnetworks #pytorch
— PyTorch Best Practices (@PyTorchPractice) July 14, 2018
This is so cool. Automatically create a @Docker from your @github repo and create a @ProjectJupyter notebook too! Great idea to help with code lifespan! pic.twitter.com/sK8Z1GtJdm
— Olivia Guest (@o_guest) July 14, 2018
#broom 0.5.0 is headed to CRAN on Monday (breaking changes!)
— alex hayes (@alexpghayes) July 13, 2018
- Tidiers now return tibbles
- New vignettes and more thorough documentation
- Literally more bugfixes than I can count
- Tons of contributions from fantastic #rstats community membershttps://t.co/YBhjXeJy0T pic.twitter.com/C0rytRttUH
ggspatial 1.0 is now on CRAN! @openstreetmap tiles, automatic spatial-aware scale bars and north arrows (with multiple styles thanks to @brentthorne18!), and fast (ish) RGB raster layers for #gis in #ggplot2 #rstats! https://t.co/XnTLa7dfm5 pic.twitter.com/0B1RSsvxmV
— Dewey Dunnington (@paleolimbot) July 13, 2018
https://t.co/cAsWniw70d is too cool.
— Randy Olson (@randal_olson) July 13, 2018
I've updated my #DataScience & #MachineLearning projects repo so you can run my "Example #Python Machine Learning Notebook" directly in your browser, no installation required: https://t.co/amYzf1e66Q
Will update other projects as I get time. pic.twitter.com/5m18xpcc2K
Did you know there's a package to do fuzzy joins in R? See fuzzyjoin by @drob https://t.co/beBwrpqMNN#rstats h/t @jakekaupp pic.twitter.com/TVL3nHXHsf
— Sharon Machlis (@sharon000) July 12, 2018
Released lolviz 1.4 that can visualize 1D, 2D numpy arrays in jupyter or raw Python 2, 3. Use "pip install -U lolviz" to enjoy. https://t.co/L3HLISC4lS pic.twitter.com/3VJVwaFwBK
— Terence Parr (@the_antlr_guy) July 11, 2018
DALEX: Descriptive Machine Learning Explanations for Black Box Models #rstats https://t.co/KrSElIvycU pic.twitter.com/KtVcCZYddg
— ML Review (@ml_review) July 11, 2018
In the spirit of Twitting, I recently completed a paper that summarizes the #BookOfWhy in seven words, each standing for a principle or a tool:https://t.co/kGo69bX109
— Judea Pearl (@yudapearl) July 11, 2018
Once you acquire these seven tools you would qualify as top Causal Inference Expert - a champion of commonsense.
https://t.co/Q6U9aSkkaG
— Vladimir Iglovikov (@viglovikov) July 10, 2018
I am happy to announce that @AlBuslaev @creaf and I are open-sourcing a library for Image Augmentations.
It is fast. It is diverse. Supports classification, segmentation, detection out of the box. Was used to win a number of #DeepLearning competitions. pic.twitter.com/o1fNk1JN0j
Nice tool !
— Colin Fay 🤘 (@_ColinFay) July 10, 2018
"New package 'packagefinder' - Search for packages from the #RStats console" 🔎🔍https://t.co/8wxncExzyo pic.twitter.com/aqIbhH2YRg