Description of 4th place and fastest solution in @Lyft Perception Challenge with #PyTorch code https://t.co/kLsZoV2CUg
— Alexandr Kalinin (@alxndrkalinin) June 11, 2018
- simulated data for semantic segmentation
- hardware limitations
- LinkNet34
- postprocessing on GPU
- speed-up tricks to get >20FPS on single K80 pic.twitter.com/7XaMzu5uZv
Key difference between rbind and dplyr's bind_rows: One refuses to add when columns aren't matching, the other one looks for where the match is (with warnings for missing columns). Depending on the scenario, either one can come in handy #rstats #DSLearning pic.twitter.com/PQyNsT2JeY
— Suzan Baert (@SuzanBaert) June 11, 2018
ICYMI, 👍 code-through:
— Mara Averick (@dataandme) June 11, 2018
"Supervised vs. Unsupervised Learning: Exploring Brexit w/ PLS & PCA" by @gokhan_ciflikli https://t.co/iGEZCxFLIu #rstats #caret #tmap pic.twitter.com/jx902RUjBl
ICYMI last week we released the largest git dataset in the history of #MLonCode!
— source{d} (@sourcedtech) June 11, 2018
Repos contain objects and metadata for all existing revisionshttps://t.co/Aa5Qq8p6bf
👍: the updated @rawgraphs comes with bee swarm and contour plots https://t.co/HC0jzilvZv pic.twitter.com/diB5dM7rsh
— Maarten Lambrechts (@maartenzam) June 11, 2018
I'm laughing so hard at this slide a friend sent me from one of Geoff Hinton's courses;
— Robbie Barrat (@DrBeef_) June 10, 2018
"To deal with hyper-planes in a 14-dimensional space, visualize a 3-D space and say 'fourteen' to yourself very loudly. Everyone does it." pic.twitter.com/nTakZArbsD
New book chapter: Optimize the data–ink ratio. #datavizhttps://t.co/ULy0vgOJzH pic.twitter.com/eeC6phXl9h
— Claus Wilke (@ClausWilke) June 10, 2018
💫 infosec code-through:
— Mara Averick (@dataandme) June 10, 2018
"Anomaly Detection and Threat Hunting w/ Anomalize" ✏ @holisticinfosechttps://t.co/CwRohZ3BTj via @bizScienc #rstats #infosec pic.twitter.com/Gwmy2lXvLA
“Taming LSTMs: Variable-sized mini-batches and why PyTorch is good for your health” by @_willfalcon https://t.co/wjaPGWNM37 #pytorch #deeplearning #machinelearning #ml #ai
— PyTorch Best Practices (@PyTorchPractice) June 9, 2018
A static screencap tweetstorm was not sufficient to demonstrate how cool the new @RStudio "Jobs" feature is. So here's a short vid that shows how to run R & Python scripts in the background then immediately use the results in RStudio 1.2 https://t.co/jpTQ3Gy6GK #rstats
— boB Rudis (@hrbrmstr) June 9, 2018
"Estimating mortality rates in Puerto Rico after hurricane María using newly released official death counts" by @rafalabhttps://t.co/UlqAmtqLT7 #rstats pic.twitter.com/TcyKMiQq8S
— Mara Averick (@dataandme) June 9, 2018
I wrote a short blog post with step-by-step instructions for reproducing the experiments in the world models paper. https://t.co/UmCE5L6vbH pic.twitter.com/LyeGpRgY43
— hardmaru (@hardmaru) June 9, 2018
