gghighlight 0.2.0 is released on CRAN! I blogged about a few new features that you might need. #rstats
— Hiroaki Yutani (@yutannihilat_en) February 17, 2020
gghighlight 0.2.0 | Wannabe Rstats-fu https://t.co/abK75A6U4x pic.twitter.com/AmGYNWQgXY
gghighlight 0.2.0 is released on CRAN! I blogged about a few new features that you might need. #rstats
— Hiroaki Yutani (@yutannihilat_en) February 17, 2020
gghighlight 0.2.0 | Wannabe Rstats-fu https://t.co/abK75A6U4x pic.twitter.com/AmGYNWQgXY
fastai: A Layered API for Deep Learning
— Thomas (@evolvingstuff) February 13, 2020
"quickly and easily provide state-of-the-art results in standard deep learning domains"https://t.co/j61JeIWakmhttps://t.co/bDlZs2saps
Brought to you by @jeremyphoward pic.twitter.com/67QXq0SbCN
Nice work and the accompanying library/codebase for model-parallelism in PyTorch looks really sweet!
— Thomas Wolf (@Thom_Wolf) February 11, 2020
👉 https://t.co/yqzaf5glBa https://t.co/sg4igQV6xI
SciPy 1.0: fundamental algorithms for scientific computing in Python
— hardmaru (@hardmaru) February 11, 2020
“The development cost of SciPy is estimated in excess of $10M. Yet the project is largely unfunded, having been developed predominantly by graduate students in their free time”https://t.co/A1Ee81Snsv
ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parametershttps://t.co/PbXx7zrtZm pic.twitter.com/W5xMFsfH0U
— Sebastian Raschka (@rasbt) February 11, 2020
A JupyterLab extension for displaying dashboards of GPU usage
— ML Review (@ml_review) February 10, 2020
By @rapidsai ( @_JacobTomlinson )
Github:https://t.co/UwCXGuOijG
Blog:https://t.co/eMAaPxhDOk pic.twitter.com/jSpQJW1qHw
Hydra – framework for elegantly configuring complex Machine Learning projects
— ML Review (@ml_review) February 7, 2020
By Facebook AI ( @omry )
Provides auto-wiring with composable YAML configs plus CLI overrides/autosuggest
Github: https://t.co/ZAR0fpzaCs
Website: https://t.co/W11XYxF5CL
Blog: https://t.co/3WJftDBBKS pic.twitter.com/FBR8nfpxHJ
"Upgrading Python lists" by Dipam Vasani in @TDataScience
— Jeremy Howard (@jeremyphoward) February 7, 2020
First tutorial on fastcore's `L` class that I've seen. Check it out - it's a really helpful class and I use it ALL THE DAMN TIME nowadays!
NB: you don't need fastai2 for this, only fastcore,.https://t.co/9AH3HukzIv
And today I've tried UMAP with @nvidia @rapidsai in @kaggle kernels. A speedup of 120 x is nothing to sneeze at, even though it's not as dramatic as the 2000 x speedup for t-SNE.https://t.co/iIA8UZekH5 pic.twitter.com/QVRdqJQWag
— Bojan Tunguz (@tunguz) February 6, 2020
We just released PyTorch3D, a new toolkit for researchers and engineers that’s fast and modular for 3D deep learning research: https://t.co/RmMSXJoWCm pic.twitter.com/H75Ai9gH2I
— Facebook AI (@facebookai) February 6, 2020
Hydra provides an ability to compose and override configuration from the command line and config files, helping PyTorch developers to more easily manage complex ML projects. https://t.co/Kftd5mwp2E
— PyTorch (@PyTorch) February 5, 2020
See how Kaggler Chris Deotte uses @rapidsai #cuML to accelerate knn 600x in @kaggle #GPU cloud compute environment and augments data for higher accuracy on MNIST - https://t.co/H9aPHCMCsP
— RAPIDS AI (@rapidsai) February 5, 2020