catalyst-team/catalyst
Accelerated deep learning R&D
This framework helps machine learning practitioners accelerate their deep learning research and development. It takes raw data and model architectures, providing a streamlined training loop with built-in features like metrics, early-stopping, and model saving. Data scientists and ML engineers can use this to quickly iterate on deep learning experiments.
3,372 stars. Used by 3 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or ML engineer working with PyTorch and want to reduce boilerplate code for training deep learning models, enabling faster experimentation and development.
Not ideal if you are looking for a low-code or no-code solution, or if you are not comfortable with Python and the PyTorch ecosystem.
Stars
3,372
Forks
400
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 27, 2025
Commits (30d)
0
Dependencies
6
Reverse dependents
3
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