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 https://t.co/lDBeALTJ5Q on Catalyst + NeptuneLogger integration:
https://t.co/eC96r0cslf
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
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
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
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
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
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 🎉
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
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
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