It was linux, ubuntu, my main problem was …well everything lol, one time there were some issues with CUDA, another time with something else. I don’t really remember (it was sometime in the spring), but I do remember the fact that I wanted to throw the PC out of the window.
I’m going to try again, but this time with docker, so at least it won’t take so much time (to know it won’t work 
. Today I’ve got GCP up and going within like 10 minutes and it made me so happy.
I dont remember what cause more problem but full set up of GPU environment on my desktop took me 2-3 days 
including OPENCV compilation from source Pytorch best to install by conda installer
good luck:)
M
You can speak polish right here! 
It seems to be very funny weekend then. I’ll try to setup it on Arch Linux 
Best to use the forums if you want to stay connected to the rest of the community. Just my $0.02 of course.
hi @jeremy
just wanted to get your opinion as there seem to be some confusion at our thread ‘Study Group Polska’ about if we can use Polish language there or should stick to English?
from your post i get the impression that native language is welcome here?
^^^^^^^
Didn’t notice that one. That was fast. Thanks!
I set up fastai (previous version) on ubuntu 16, ubuntu 16 gnome, ubuntu 18 without any problems.
I think the trick is to NOT install CUDA on your own, let env do everything. And avoid pip when possible.
I just have lots on env right now
one for keras, other for vanilla pytorch, other for fastai, another for some DL style transfer demo. Because each requires different CUDAs and diff ver of pytorch etc
When I tried installing CUDA following instructions from nvidia, I ended up re-installing everything 
If you don’t menage to make it work, follow Jeremy advice, and just use Google Cloud. It takes too much time and attention, that would be better spend on focusing on lessons. And tackle setting up own rig after the course.
@radek użył kodu z pierwszej lekcji w konkursie kaggle Quick, Draw!: https://github.com/radekosmulski/quickdraw
a co Wy robicie jako prace domową?
z wyników głosowania wynika że będziemy spotykać sie wirtualnie w czwartki o 20.00
proponuje platforme jitsi meet, jest to darmowa aplikacja do wideokonferencji, open source, nie potrzeba loginu
wystarczy kliknac na ponizszy link
Thank you , It was really nice and super motivating gesture. Thank you @jeremy 
.
The work on German language was done in cooperation with @mkardas but it happened that I’ve created the thread so I ended up on the slides.
As @jeremy said the most important part is to focus on one project and do it well.
I really hope we can make more awesome projects this semester!
Update: I’ve just noticed that @aayushy got a even better model with accuracy of:
Two sources of conversations & notifications make things more complex to follow and it is important we share as much as we can on the forum. It does not mean that I would not want to join Women in Machine Learning for other conversations than fast.ai, can you let me in :)?
Me
I can help you if you want.
Give it a try few times. You get use to it after third lecture and the experience is awesome because you don’t skip any parts and you feel like you are there with a bit of jet lag :).
About 8x times. V100 is 2x faster than 1080ti and 1080ti is 2x to 4x faster than K80.
(k80 have 2 gpu cores but you get only one when you start a vm hence 2x to 4x slower)
I went to sleep before I finished. But since Jeremy is saying that it is better to keep the conversation in public in polish than in private let’s do that. I see the point that it might be easier better for SEO etc. Although I do feel the same as @Blanche, talking polish on mostly english forum does feel a bit odd
Ok in the matter of language two are accepted Shespire and Slowacki
What is most important how we can progress together in ML ?
Personally, I’m the beginer but I see Piotrek is more advanced not sure about rest of group But doesn’t really matter we are joined by one goal What would you say to pick one ML challenge and work on it together and all the time follow mainstream of Fastai V3. Is this has sense ?? What you think ?
Astalavista
Michal
i guess there are pros and cons of using Polish language here
pros: it feels nice
cons: people who can’t speak Polish (most at this forums) cannot join the discussion to learn or help
i am fine with either Shakespeare or Słowacki
yeah it does. do you have any project ideas? maybe kaggle competition?
I was thinking about hart EKG interpretation by ML not sure will we get data.
There was some kagle about pneumonia X-ray classification that could be another topic
Anyone any other ideas?
M
perhaps not what you were looking for but maybe good enough to start? https://toolbox.google.com/datasetsearch/search?query=EKG&docid=fDemn13sK8nLG9JLAAAAAA%3D%3D
sounds interesting
For me we can start on this
We have data