Catalyst is an PyTorch framework for Deep Learning research and development.
It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing.
Being able to research/develop something new, rather than write another regular train loop.
Break the cycle - use the Catalyst!
# make code compatible with `catalyst` code style catalyst-make-codestyle # check that the code is `catalyst` code style compliant catalyst-check-codestyle
You can install
catalyst-codestyle via pip or directly from source.
Install from PyPi
Using pip you can easily install the latest release version PyPI:
pip install -U catalyst-codestyle
Install from GitHub
You can install the latest development version using pip directly from the GitHub repository:
pip install git+https://github.com/catalyst-team/codestyle.git
Install from source
It’s also possible to clone the Git repository and install
catalyst-codestyle using its
git clone https://github.com/catalyst-team/codestyle.git cd codestyle python setup.py install
- GitHub Issues: Bug reports, feature requests, install issues, RFCs, thoughts, etc.
- Slack: The Catalyst Slack hosts a primary audience of moderate to experienced Catalyst users and developers for general chat, online discussions, collaboration, etc.
- Email: Feel free to use firstname.lastname@example.org as an additional channel for feedback.