Catalyst.Team

Accelerated DL R&D:

[Catalyst.Team @CatalystTeam]

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!

[Catalyst.Team @CatalystTeam]

Catalyst became a #NumFocus affiliated project!
https://t.co/05M38QmNZu

[Catalyst.Team @CatalystTeam]

Another important step in machine learning research - experiment logging. Check out our joint work with https://t.co/lDBeALTJ5Q on Catalyst + NeptuneLogger integration:
https://t.co/eC96r0cslf

[Catalyst.Team @CatalystTeam]

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.
https://t.co/oJfOsqak8b

[Catalyst.Team @CatalystTeam]

Interested in Self-Supervised Learning?
Check out the Barlow-Twins implementation and SSL benchmark through Catalyst examples.
https://t.co/hUGojtRIDC

[Catalyst.Team @CatalystTeam]

Hi guys, nice project!
It was an intense month for was, so check out the Catalyst 21.11 release:
https://t.co/28VkWHuCEb

And stay tuned for more updates 🚀
#opensource #deeplearning #pytorch #catalyst

[Comet @Cometml]

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: https://t.co/5ccFZEJD5o

[Sergey Kolesnikov @Scitator]

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!
https://t.co/dRU3uUwbaw

[PyTorch @PyTorch]

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: https://t.co/IOT39cUcwg

[Catalyst.Team @CatalystTeam]

Thanks to all the contributors and the team for your support and help ❤️‍🔥
release notes: https://t.co/xdulUp75HN

[Catalyst.Team @CatalystTeam]

Happy August to all of you!
Here is the 21.08 release 🧵

[Catalyst.Team @CatalystTeam]

TPU support
https://t.co/i9Bvv4Y9cw

[Sergey Kolesnikov @Scitator]

Interested in object detection?
Check out our new example on object detection with SSD and CenterNet:
https://t.co/eyjdbhiXop

Bonus: compatible with @PyTorch Jit, @onnxai, and Apple Metal 🎉

[Sergey Kolesnikov @Scitator]

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: https://t.co/nTez1kkrMF

[Sergey Kolesnikov @Scitator]

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: https://t.co/ce921ubk82

[Sergey Kolesnikov @Scitator]

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: https://t.co/2CioTgWMJz

[Catalyst.Team @CatalystTeam]

We are thrilled to announce our joint work with @CenterTrends on brain segmentation!
Check the post below for more details: https://t.co/xE5Dz6m4jw