Next-level network analysis 📦:
— Mara Averick (@dataandme) June 28, 2018
"netrankr: Analyzing partial rankings in networks" ✍️ @d_mathlete https://t.co/BRZM3OcalI #rstats pic.twitter.com/D3m4l9YP71
Next-level network analysis 📦:
— Mara Averick (@dataandme) June 28, 2018
"netrankr: Analyzing partial rankings in networks" ✍️ @d_mathlete https://t.co/BRZM3OcalI #rstats pic.twitter.com/D3m4l9YP71
Pyod - A Python Toolkit for Outlier Detection (Anomaly Detection). https://t.co/30LAaXVqt4 #python pic.twitter.com/dnTJLCmrEP
— Python Weekly (@PythonWeekly) June 27, 2018
PyLogger - A singleton logger that will be used globally by the project https://t.co/dChbAdYiK2
— Python Trending (@pythontrending) June 27, 2018
#rstats source code formatter styler v1.0.2 is on CRAN. We don't try to style your non-R code chunks in R markdown anymore, refined styling around tilde, fixed some edge cases and more. Full changelog here: https://t.co/VTv6QRlmAe
— Lorenz Walthert (@lorenzwalthert) June 27, 2018
We just released Jack the Reader - A Machine Reading Framework that allows for quick model prototyping via component reuse, and easy evaluation on new and existing datasets: https://t.co/GPq7nnNOo0 #ACL2018 - currently supporting QA, NLI, and Link Prediction! pic.twitter.com/eJmwnYREmN
— UCL Machine Reading (@uclmr) June 25, 2018
Check out Distiller, our @PyTorch based package for neural network compression research at https://t.co/px4g8yCrjS https://t.co/Fews6mK3X6
— Gal Novik (@gal_novik) June 22, 2018
I'm happy to announce the first release of ignite - a high level library for @pytorch helping you write compact but full-featured training loops in a few lines of code! Check it out at https://t.co/d9BBOEXMXF
— Alykhan Tejani (@alykhantejani) June 20, 2018
@PyTorch geometric by @rusty1s et al.https://t.co/rhyvOyjppS pic.twitter.com/mOWWuFClUD
— Brandon Amos (@brandondamos) June 18, 2018
Tools for PyTorch https://t.co/swXLBCQQuv #pytorch #deeplearning #machinelearning #ml #ai #neuralnetworks
— PyTorch Best Practices (@PyTorchPractice) June 16, 2018
NCRF++ : A neural CRF++ toolkit for sequence labeling tasks. Works pretty much similar to Taku's CRF++ package, but built with #PyTorch! #nlproc https://t.co/05ZL6bEcoO pic.twitter.com/ME8k7ruMdA
— Delip Rao (@deliprao) June 16, 2018
Facebook's fairseq MT engine is really, really fast... Like, 50% faster than @marian_nmt (which is itself way faster than Sockeye/OpenNMT/Tensor2Tensor/xnmt/Nematus/etc) at generating from the same Transformer model https://t.co/tWZuSog5gd
— James Bradbury (@jekbradbury) June 15, 2018
“TensorFlow 1.9 has Arrived!” by @SagarSharma4244 https://t.co/oqNCR2Xp1b #tensorflow #deeplearning #machinelearning #neuralnetworks #ai
— TensorFlow Best Practices (@TFBestPractices) June 9, 2018