Tag: tool

📊 Easy ggploting for your {mgcv} GAMs…
"Introducing gratia" 👨‍💻 @ucfagls https://t.co/QbWOm2kqmj #rstats #dataviz pic.twitter.com/lLq5j2ToWE

— Mara Averick (@dataandme) October 24, 2018

pytorch2keras – Pytorch to Keras model convertor

Models converted with pytorch2keras:
ResNet*, PreResNet*, SqueezeNet (with ceil_mode=False), SqueezeNext, DenseNet*, AlexNet, Inception, SeNet, Mobilenet v2https://t.co/podQhlAdA2

— ML Review (@ml_review) October 22, 2018

First time I've created an #rstats package from scratch with usethis. What. A. Timesaver. Functions like use_data(), use_readme_rmd(), use_vignette("intro") and use_package("dplyr") take away so much setup pain! Thanks @JennyBryan & @hadleywickham https://t.co/72hkTcoTXa pic.twitter.com/cOSr7uN3m6

— Sharon Machlis (@sharon000) October 18, 2018

DeepMind is releasing their GraphNets library: https://t.co/9egm9F4Vk3 - a very comprehensive and easy-to-use library for training graph (neural) networks and related models pic.twitter.com/AOsiNRTwum

— Thomas Kipf (@thomaskipf) October 18, 2018

Today we're open sourcing TRFL, a library of building blocks for reinforcement learning agents - containing key algorithmic components of many of our most successful RL agents.

GitHub: https://t.co/J6OTTyHlN9
Blog post: https://t.co/FE2RojT7zn

— DeepMind (@DeepMindAI) October 17, 2018

Nvtop: "NVidia TOP", a (h)top like task monitor for NVIDIA GPUshttps://t.co/uoB4G2o8Vp pic.twitter.com/UF78b8N6mP

— Jeremy Howard (@jeremyphoward) October 17, 2018

TIL you can get all the info provided by `nvidia-smi` directly in Pythonhttps://t.co/P5YjYCbYfO

— Jeremy Howard (@jeremyphoward) October 17, 2018

OMG, I love this! (I miss Breaking Bad so much)
📦 "VisualResume: An R package for creating a visual resume" by @YaRrrBook https://t.co/ZNtbrU87Y4 #rstats pic.twitter.com/8KbI06QYKq

— Mara Averick (@dataandme) October 17, 2018

Did you hear about our new open-source JupyterLab extension for editing Plotly charts through a user-friendly point-and-click interface? 🤓👊 Learn how to power up your charts at our next webinar: https://t.co/qP5nkJsGGA pic.twitter.com/bw7QIbrJhx

— plotly (@plotlygraphs) October 16, 2018

Here's a handy summary of the dependencies between the main modules in fastai v1.
h/t @GuggerSylvain for getting graphviz to work much better than I did! pic.twitter.com/T4fYElO628

— Jeremy Howard (@jeremyphoward) October 14, 2018

Did you know that you can use the new fastai.tabular module to prepare your data for random forests and friends too - it's not just for deep learning! New @fastdotai contributor @DienhoaT shows how in this little code snippethttps://t.co/77sOGwhcxG pic.twitter.com/HtgGj3NKd9

— Jeremy Howard (@jeremyphoward) October 13, 2018

Got sketchy data? This might be for you...
"ggrough: Convert ggplot2 charts to roughjs" 🖍 @xvrdmhttps://t.co/CJz6J5ryqk #rstats #dataviz pic.twitter.com/shHwDjXrWe

— Mara Averick (@dataandme) October 13, 2018