creaf retweeted
28 Jun 2022
New release of the best image augmentations library Albumentations - 1.2.0
- Four new transforms
- Improved key points support
- Improved documentation
- Various bug fixes
Stats:
- 280k downloads per month
- 10.4k stars at GitHub.
More details: github.com/albumentations-te…
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creaf retweeted
20 Dec 2021
Post about #albumentations #OpenSource library.
I talk about how it was born from @kaggle competitions, how it evolved, and how we promoted it among developers and scientists.
medium.com/@iglovikov/the-bi…
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#Albumentations 1.1.0 is out!
The new release of a fast and flexible library for image augmentation includes new transformations and improvements for the current ones.
Thanks to @Dipetm @viglovikov @cvtalks @AlBuslaev and all our contributors.
github.com/albumentations-te…
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creaf retweeted
1 Jun 2021
#Albumentations 1.0.0 has been released!
New version contains:
- 10 new transforms
- bug fixes
etc
See the release notes for details github.com/albumentations-te…
Thanks a lot to core team
@viglovikov @creaf @cvtalks @AlBuslaev
and everyone who helps improve the library
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creaf retweeted
2 Mar 2020
Fresh Martian Chronicles are out: a hands-on introduction to a Catalyst framework for #deeplearning by @gazay. Learn how to build your own pipeline for an image classifier and deploy a trained model to Heroku
“Beyond Fashion: Deep learning with Catalyst”: amp.gs/JNqB
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creaf retweeted
24 Feb 2020
Another nice contribution to our "Machine Learning with Python" special issue just got published: "Albumentations: Fast and Flexible Image Augmentations" by @alxndrkalinin et al. Paper link: mdpi.com/2078-2489/11/2/125 GitHub Repo: github.com/albumentations-te…
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creaf retweeted
24 Feb 2020
Our peer-reviewed open-access Albumentations paper has been published in the special issue Machine Learning in Python @InformationMDPI:
mdpi.com/2078-2489/11/2/125
It covers the design considerations, main features, performance, & adoption of Albumentations albumentations.ai
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creaf retweeted
10 Feb 2020
Now we have an official website for #Albumentations!
Check this out at albumentations.ai
Big thanks to @creaf for making it real!
#DeepLearning #ArtificialIntelligence
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creaf retweeted
17 Jan 2020
A fresh release of pytorch-toolbelt 0.3 is out:
Changelog: github.com/BloodAxe/pytorch-…
If you're unfamiliar - it's a python library with a lot of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming:
linkedin.com/posts/cvtalks_b…
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creaf retweeted
8 Jan 2020
On my new year flight from Lima to SF, I wrote a blog post on the path from my previous job to the current one.
TL;DR => it was an ocean of pain and experience obtained at @kaggle was very useful 😀
If you like it => 50 claps.
If not => 49 😀
medium.com/@iglovikov/how-i-…
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creaf retweeted
28 Oct 2019
I am thrilled that image Augmentation library #albumentations that was born out of @kaggle competitions by @AlBuslaev @creaf @cvtalks @Dipetm and @viglovikov became a part of the @PyTorch ecosystem!
pytorch.org/ecosystem
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creaf retweeted
17 Jul 2019
datafuturology.com/podcast/2…
My interview with the Data Futurology podcast.
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creaf retweeted
6 May 2019
Catalyst, high-level utils for @PyTorch DL & RL research.
Release 19.05 thread
PS. 600 starts on Github - done 🚀
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creaf retweeted
5 Apr 2019
We have finally released the source code and pre-trained models of our recent work "DGC-Net: Dense Geometric Correspondence network"🎉
Paper: arxiv.org/abs/1810.08393
Github: github.com/AaltoVision/DGC-N…
Project page: aaltovision.github.io/dgc-ne…
@tiulpin @mapo1 @PyTorch @CSAalto
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creaf retweeted
28 Mar 2019
Hell yeah,
We have released catalyst 19.03 final version!
- tests, lots of new tests for train/infer pipeline validation
- registry refactoring for simplified customisation
- stablelized API
- minor improvements
github.com/catalyst-team/cat…
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creaf retweeted
25 Mar 2019
In #albumentations v0.2.2 @AlBuslaev @creaf @cvtalks and @viglovikov added experimental support for weather transforms from the #automold library.
Let us know if they help or you have ideas on how to improve them.
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creaf retweeted
4 Mar 2019
Are your interested in reproducible RL? Or want a competitive benchmark of current off-policy RL algorithms?
check out arxiv.org/abs/1903.00027, catalyst.rl – framework for distributed RL training on top of @PyTorch
Various RL algorithms and auxiliary tricks included
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creaf retweeted
18 Mar 2019
The Interview with @kaggle Grandmaster and Senior CV Engineer @LyftLevel5: Vladimir Iglovikov @viglovikov just got published @hackernoon. The Grandmaster has really been kind enough to share *ALL* of his secrets, you can find all of them here: hackernoon.com/interview-wit…
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Bookmark this amazing library of image augmentations 😵 by #Kaggle Masters @AlBuslaev @creaf @viglovikov and @cvtalks | github.com/albu/albumentatio… #resources #machinelearning
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creaf retweeted
11 Mar 2019
Catalyst.dl - high-level utils for @Pytorch DL research v19.03
You get a training loop with metrics, early-stopping, model checkpointing and other features without the boilerplate.
Break the cycle - use the Catalyst!
github.com/catalyst-team/cat…
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