Accelerated DL R&D: https://xitter.cf/t.co/jdb56HhI0J Code: https://xitter.cf/t.co/ErHRMbSWAQ Docs: https://xitter.cf/t.co/llwD8WYLDA Course: https://xitter.cf/t.co/aeZyWcK80I
Joined January 2020
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Catalyst - @Pytorch framework for Deep Learning research and development. You get a training loop with metrics, model checkpointing, advanced logging and distributed training support without the boilerplate.
Break the cycle - use the Catalyst!
Another important step in machine learning research - experiment logging. Check out our joint work with Neptune.ai on Catalyst + NeptuneLogger integration:
jubb.ly/37f266
One of the current trends in ml - model interpretability. With our recent project, you could train and visualize the most "interesting" parts of your training data.
jubb.ly/54615a
Interested in Self-Supervised Learning?
Check out the Barlow-Twins implementation and SSL benchmark through Catalyst examples.
jubb.ly/d1025e
Hi guys, nice project!
It was an intense month for was, so check out the Catalyst 21.11 release:
t2m.io/wQEbaHa
And stay tuned for more updates 🚀
#opensource #deeplearning #pytorch #catalyst
Catalyst.Team retweeted
Thrilled today to share another powerful integration: Comet + @CatalystTeam!
Comet users can leverage experiment logging and tracking with Catalyst's powerful library designed for reproducibility, rapid experimentation, and codebase reuse.
Read more: bit.ly/3BUBwiz
Catalyst.Team retweeted
Check out our updated examples! You will learn:
- how to wrap your @PyTorch code with the @CatalystTeam
- how to solve any supervised problem with a few lines of code
- how to run complex multi-stage examples with ease
Break the cycle - use the Catalyst!
bit.ly/38Mdj0P
Catalyst.Team retweeted
Join us at 9AM PT 9/8 for an interview with @Scitator from @CatalystTeam on #PTCV.
Catalyst focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write yet another train loop.
Watch live here: youtube.com/watch?v=GLdLz27G…
Thanks to all the contributors and the team for your support and help ❤️🔥
release notes: github.com/catalyst-team/cat…
Catalyst.Team retweeted
Interested in object detection?
Check out our new example on object detection with SSD and CenterNet:
github.com/catalyst-team/cat…
Bonus: compatible with @PyTorch Jit, @onnxai, and Apple Metal 🎉
Catalyst.Team retweeted
another important update – our new package hydra-slayer 🐲
Besides the cool name, it is a powerful tool for config management in Python without extra complexity or boilerplate code. Stay tuned for more examples to come! ✌️
Github: github.com/catalyst-team/hyd…
Catalyst.Team retweeted
I am happy to announce our 21.07 release 🎉
Many cool features have been added, many DevOps improvements have been made 🚀
Thanks to all the contributors and the team for your support and help❤️🔥
release notes: github.com/catalyst-team/cat…
Catalyst.Team retweeted
совместно с сообществом Open Data Science врываемся в ODS Summer of Code движ 🚀
если вам интересно нарастить экспертизу в deep learning и поучаствовать в развитии community - welcome!
планируем треков много и разных
подробности: ods.ai/tracks/catalyst-soc20…
Catalyst.Team retweeted
We are thrilled to announce our joint work with @CenterTrends on brain segmentation!
Check the post below for more details: medium.com/pytorch/catalyst-…