DANMF - A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018). https://t.co/EfJ9Oeerax
— Python Trending (@pythontrending) November 24, 2018
DANMF - A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018). https://t.co/EfJ9Oeerax
— Python Trending (@pythontrending) November 24, 2018
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
The CherryPi team from @facebookai have open sourced TorchCraftAI, a platform for building and training agents to play StarCraft: Brood War: https://t.co/kFGL97fghy 🎉🎉🎉 Amazing work from @syhw @ebetica @dgant @n0mad_0 and the rest of the team (sorry if I missed you on Twitter)
— Kaixhin (@KaiLashArul) November 22, 2018
Beating Fine-Grained Clothing Classification benchmark using fastai in 10 Lines of Code by @pankajmathur_ https://t.co/lc3FuoKXRZ
— Jeremy Howard (@jeremyphoward) November 21, 2018
Fun style transfer in the browser using MobileNet. No cloud component, runs entirely in the browser.
— Reza Zadeh (@Reza_Zadeh) November 20, 2018
Live Demo: https://t.co/0wcRH26ocW
Code: https://t.co/BZ2qDShMhN
Paper: https://t.co/wnmgKRHqow pic.twitter.com/asfui0JuNA
⭐️ well-explained code-through…
— Mara Averick (@dataandme) November 20, 2018
"Generating data to explore causal effects that can be estimated in observational data analysis" by Keith Goldfeldhttps://t.co/7rdBCH0VEX #rstats pic.twitter.com/CoUbVnEpp2
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
Our new #Corl18 paper:
— Pierre-Yves Oudeyer (@pyoudeyer) November 19, 2018
How curiosity-driven autonomous goal setting enables to discover
independantly controllable features of environments
pdf: https://t.co/vArIwNgewY
Blog: https://t.co/7LV1fs67NX
Colab: https://t.co/RIJ6GP9vTV#machinelearning #AI #NeuralNetworks
Our PyTorch BERT is on pip!
— Thomas Wolf (@Thom_Wolf) November 17, 2018
I took extra care to make it both easy to use and modular.
Uses @ai2_allennlp file caching technique to download/cache/load Google's pretrained models
Includes 6 PyTorch models with various architectures, tokenizer & optimizer
👉https://t.co/dChmNPGPKO pic.twitter.com/jETFVQT5RM
Have been experimenting with an unsupervised pre-training technique for @spacy_io, similar to ULMFit/Elmo/BERT etc. Still very early, but pushing to spacy-nightly soon so you can check it out! 🚀💫https://t.co/6lqeUj2uKj
— Matthew Honnibal (@honnibal) November 15, 2018
Covered amazing modern text visualization techniques in my #dataviz #rstats class today. Incredible packages by @juliasilge, @drob, and @kearneymw make this so easy and magic!
— 🍁🍂 Andrew Heiss, thankful PhD 🍂🍁 (@andrewheiss) November 14, 2018
(See all code here: https://t.co/iiy6Y8F813) pic.twitter.com/QU5ndTRiSA
BigGAN is on TF Hub! https://t.co/k5tc8Cy2eX https://t.co/TfLdQ6DJjV
— hardmaru (@hardmaru) November 12, 2018