creaf
@creaf
Followers
267
Following
0
Media
1
Statuses
40
Deep Learning | Computer Vision Co-creator of #albumentations.
Joined March 2008
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: https://t.co/sMQA92YkBp
0
3
13
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. https://t.co/XVaY2PY0Zw
medium.com
I would like to talk about Albumentations, an open-source library for image Augmentations. An explanation of how it was born and evolved…
0
21
117
#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. https://t.co/NMwgwx6NpT
1
6
12
#Albumentations 1.0.0 has been released! New version contains: - 10 new transforms - bug fixes etc See the release notes for details https://t.co/QLEfhmpYgk Thanks a lot to core team @viglovikov @creaf @cvtalks @AlBuslaev and everyone who helps improve the library
1
23
77
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”: https://t.co/tTWEaBxZn2
0
13
38
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: https://t.co/12hPieRCHC GitHub Repo: https://t.co/ExykgMDUHv
0
30
122
Our peer-reviewed open-access Albumentations paper has been published in the special issue Machine Learning in Python @InformationMDPI: https://t.co/981XYi5MZa It covers the design considerations, main features, performance, & adoption of Albumentations https://t.co/gd7EE20CoD
1
16
43
Now we have an official website for #Albumentations! Check this out at https://t.co/qePOYImw2K Big thanks to @creaf for making it real! #DeepLearning #ArtificialIntelligence
3
61
206
A fresh release of pytorch-toolbelt 0.3 is out: Changelog: https://t.co/CDevvorZiF 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: https://t.co/UTrLBV7co9
linkedin.com
In my Kaggle career I try to re-use as much code as possible. My DL framework of choice is PyTorch and I made a library with set of common tools and functions and I use in almost every challenge I...
1
10
36
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 😀 https://t.co/R42aq99RPc
medium.com
From the debt collection agency to autonomous vehicles
20
69
522
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! https://t.co/oGokF8ZxeG
landscape.pytorch.org
4
97
414
We have finally released the source code and pre-trained models of our recent work "DGC-Net: Dense Geometric Correspondence network"🎉 Paper: https://t.co/kgLWwInKIh Github: https://t.co/7JmkEy8x3T Project page: https://t.co/ID1yaeJYOy
@tiulpin @mapo1 @PyTorch @CSAalto
github.com
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network" - AaltoVision/DGC-Net
1
18
62
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 https://t.co/oD7wAdPPup
github.com
Accelerated deep learning R&D. Contribute to catalyst-team/catalyst development by creating an account on GitHub.
0
4
15
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.
0
23
71
Are your interested in reproducible RL? Or want a competitive benchmark of current off-policy RL algorithms? check out https://t.co/bMM5vPTHpB, catalyst.rl – framework for distributed RL training on top of @PyTorch Various RL algorithms and auxiliary tricks included
arxiv.org
Despite the recent progress in deep reinforcement learning field (RL), and, arguably because of it, a large body of work remains to be done in reproducing and carefully comparing different RL...
2
33
102
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
Today, I’m honored to be talking to another great kaggler from the ODS community: (kaggle: iglovikov) Competitions Grandmaster (Ranked #97), Discussions Expert (Ranked #30): Dr. Vladimir I. Iglovikov
8
86
361
Bookmark this amazing library of image augmentations 😵 by #Kaggle Masters @AlBuslaev @creaf @viglovikov and @cvtalks | https://t.co/7hTShJvbqZ
#resources #machinelearning
2
60
218
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! https://t.co/oD7wAdPPup
1
16
37