Combating the spread of 'fake news' and 'influencer fraud' - Researchers show how data science techniques can find Twitter ‘amplification bots’ by @matthewhughes https://t.co/CbWNdXRY1u pic.twitter.com/KtxlFTNyVe
— Kaggle (@kaggle) December 12, 2018
Combating the spread of 'fake news' and 'influencer fraud' - Researchers show how data science techniques can find Twitter ‘amplification bots’ by @matthewhughes https://t.co/CbWNdXRY1u pic.twitter.com/KtxlFTNyVe
— Kaggle (@kaggle) December 12, 2018
I tried it on a YouTube video clip called “We followed a Waymo self-driving car for miles, here's what we saw” and here's what it generated: https://t.co/mX5AoEz248 pic.twitter.com/bR1043OSmr
— hardmaru (@hardmaru) December 12, 2018
How to build an image duplicate finder by @inghamfran https://t.co/wD1RHs0PCe
— Jeremy Howard (@jeremyphoward) December 11, 2018
Great work that's now in the fastai lib. Even shows examples of finding errors in some popular datasets!
(PS: he's on the job market and you should hire him)
Pre-trained network for image super resolution (in Keras): https://t.co/vIZdf1C4El
— François Chollet (@fchollet) December 10, 2018
An evening project would be to export it to TF.js to run in the browser on user-uploaded photos
— François Chollet (@fchollet) December 2, 2018
Face Alignment in Full Pose Range: A 3D Total Solutionhttps://t.co/FQCGKa6UX2
— PyTorch (@PyTorch) November 23, 2018
- the inference time is about 0.27ms per image (input batch with 128 images) on GeForce GTX TITAN X. pic.twitter.com/6Qwf717xcZ
Simply wow ! Retina-Unet for medical imaging detection is brilliant. With available open source code. Congratulations @pfjaeger and @saakohl ! Totally impressed by open science. #RSNA18
— Alexandre Cadrin (@alexandrecadrin) November 22, 2018
Paper : https://t.co/IqS8U17N41
Code : https://t.co/XYZod84qjf pic.twitter.com/bNex9HAYIV
DeOldify - A Deep Learning based project for colorizing and restoring old images. https://t.co/dBRcdfMeU4 #python #deeplearning #images pic.twitter.com/bu8zC9yyBd
— Python Weekly (@PythonWeekly) November 19, 2018
How @UberEng uses machine learning to augment human support workers, improving the speed, accuracy, and efficiency of support as a whole. Great to see more and more examples of augmenting human systems with ML https://t.co/ez4KxfLCzG
— Ben Hamner (@benhamner) November 15, 2018
Online Bayesian Deep Learning in Production at Tencent:
— Ferenc Huszár🇪🇺 (@fhuszar) November 15, 2018
my post on Tencent's scaleable click-prediction system using probabilistic backpropagation:https://t.co/o4koEQjt8D
BigGAN is on TF Hub! https://t.co/k5tc8Cy2eX https://t.co/TfLdQ6DJjV
— hardmaru (@hardmaru) November 12, 2018
Python, NLTK, and the Digital Humanities: Finding Patterns in Gothic Literature by @eleanorstrib https://t.co/fb16KpCCJd
— Rachel Thomas (@math_rachel) November 8, 2018