Entropy is not the easiest thing to understand.
It is rumored to describe something about information and disorder, but it is not clear why.
What do logarithms and sums have to do with information?
💡 Let me explain! 💡
Finally someone is trying to attract attention to this problem 📰🇩🇪🌍
Bundesjustizministerin Christine Lambrecht: Stoppt ungewollte Werbepost! Schluss mit der Ressource... https://t.co/uI7uvSfAON via @ChangeGER
Happy to announce https://t.co/WUpDFg75KD, our project to make machine learning crowdsourcing production-ready! We are releasing our platform early and would like to continue the development with community feedback! (1/8)
Being resource-constrained forces you to ship solutions that do less, or do it in a simpler way. Often, these solutions turn out to be more effective than the over-engineered solutions shipped by resource-rich teams.
Resource constraints can be a design advantage.
Tip: https://t.co/3ryVNue1Ym is fantastic for quickly mocking up UIs. Free, feature-filled and the live collaboration mode is excellent.
Great work by @Vjeux and team!
Thank you @ossia for writing this helpful article.
Learn to Code From Home: The Coronavirus Quarantine Developer Skill Handbook
https://t.co/3l8jsDRrom
We've made a draft of our deep learning book available as @ProjectJupyter notebooks.
Important: This is for personal use, and not licensed for any redistribution or change of format or medium. Eg. don't make a PDF and share it, please!
https://t.co/WS5dr2jeoi
I did jQuery
Angular 1
Angular 2+
VueJS
At least 1 year each.
And now @justindujardin and @_inesmontani made me use *modern* React (with TS and Hooks).
IMO, currently the best dev experience.
I even got past the "JSX is old-school PHP for browsers" to "I like this!"
Catalyst – one year after open-sourcing,
Today we finally reached 1k ⭐️ on @github !
Thanks to all our contributors, users and kagglers :)
Catalyst – reproducible and fast DL & RL.
Powered by @PyTorch. 🚀
Glad to see Catalyst success in both @kaggle and @NeurIPSConf – 4th place on Recursion Cellular Image Classification!
When it comes to reproducibility, teamwork and fast R&D – Catalyst is a clue.
writeup: https://t.co/Z0zVGzNXFH
code: https://t.co/k1wpx8hcKA
Our paper on training with pseudo-labels for semantic segmentation, GCPR 2019.
Semi-Supervised Segmentation of Salt Bodies in Seismic Images:
SOTA (1st place) at TGS Salt Identification Challenge.
🌐 https://t.co/oWCmUv4war
📝 https://t.co/VtC5FAEJC6
#kaggle#TGS2019#GCPR19
Look how folks at @getqonto are using DVC to version inputs, intermediate files and algorithm models💪
Reading that DVC is helping to 'drastically increase productivity' is making us so happy!🎯👏
https://t.co/qrqeUfojeD
International Summer School on Deep Learning is over. That was an amazing week thanks to the awesome speakers @apaszke@rasbt@alfcnz@alxndrkalinin and excellent organization. @muhakabartay thanks for the great networking ;)
#DLISS19#gdansk
The third day of International Summer School on Deep Learning.
Ready to learn about image super resolution with #DeepLearning
Gaining more expertise for the challenging projects in @alexandrovteam