codestyle's Introduction

Catalyst.Codestyle

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!

Catalyst at AI Landscape.

Getting started

# make code compatible with `catalyst` code style
catalyst-make-codestyle

# check that the code is `catalyst` code style compliant
catalyst-check-codestyle

Installation

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 setup.py:

git clone https://github.com/catalyst-team/codestyle.git
cd codestyle
python setup.py install

Communication

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 [email protected] as an additional channel for feedback.

codestyle's People

Contributors

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codestyle's Issues

Invalid config: isort.toml

NIP001 File .cache/nitpick/https-raw-githubusercontent-com-catalyst-team-codestyle-master-styles-isort-toml.toml has an incorrect style. Invalid config:
nitpick.files."setup.cfg".comma_separated_values.0: Dot is missing. Use <section_name>.<field_name>