I am so proud to have my very first-author paper published - ad astra per aspera💫! It will be super rewarding for me to see our 'crappification' method enabling many biologists to use deep learning with ease and confidence.
omg it’s finally out! so very grateful to have worked with the best team i could ever dream of:
@linjing_fang
@jeremyphoward
@sammy_wn
@GulcinPekkurnaz
and many others on/off twitter i couldn’t tag for some reason https://t.co/bhXwdFTEgG
@radekosmulski@madeline_pc@fastdotai@kaggle Completely agree on optimizing based on # of experiments run! I'll dive deep into projects as long as I haven't run out of quick promising experiments to try (that don't involve hyperparameter tuning). That's how my month long music project turned into 4 😅
THREAD: Can you go from being a treasurer to doing cutting edge DL research through the power of the community? ✨
Sarada Lee (@moodymwlee) is the founder of the Perth ML Group and a Scholar @DataInstituteSF and @Uni_Newcastle.
Her amazing journey began with a selfless act...
Join us tomorrow 1 PST for Medicine & AI Lightning Talks featuring work by @jeremyphoward and collaborations with @ucsf@StanfordAIMI UC Davis, Georgetown, @salkinstitute and our @usfca_msds graduating students! To register: https://t.co/RvnGKbGXTu
The fastai paper (with @GuggerSylvain) is now available on arXiv and on our site! It's been peer reviewed and will appear in the journal Information soon.
The paper covers v2, which is a from-scratch rewrite that focuses on usability and hackability.
1/n
https://t.co/vJ0OjuG1tD
If you find yourself constantly copying and pasting between notebooks and python modules, this tool is made for you. We developed it because this is where we were at a year ago and it has made our workflow so much easier and more productive.
I managed to get in touch with Canada's foreign minister, and Yoshua Bengio and I explained the issues to her and her team. She has now helped get Canada's Minister for Immigration involved.
Whilst there's no guarantee of good outcomes, this is good progress. Fingers crossed!
Is your medical image computing software this helpful?
The fastai.medical.imaging library is! :)
I'll be posting tomorrow a little tutorial on how to use the pre-release version with the RSNA Kaggle competition.