Catalyst.Team

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 became a #NumFocus affiliated project! jubb.ly/bb6ad8

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

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

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

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=GLdLz2…

Thanks to all the contributors and the team for your support and help ❤️‍🔥 release notes: github.com/catalyst-team/…

TPU support colab.research.google.com/github/catalys…

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

Interested in object detection? Check out our new example on object detection with SSD and CenterNet: github.com/catalyst-team/… 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: github.com/catalyst-team/…

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/…

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/catalys…

We are thrilled to announce our joint work with @CenterTrends on brain segmentation! Check the post below for more details: medium.com/pytorch/cataly…