Catalyst.Codestyle
Project description
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!
Project manifest. Part of PyTorch Ecosystem. Part of Catalyst Ecosystem:
- Alchemy - Experiments logging & visualization
- Catalyst - Accelerated Deep Learning Research and Development
- Reaction - Convenient Deep Learning models serving
Catalyst.Codestyle ![Github contributors](https://pypi-camo.freetls.fastly.net/4a5ad5e7ef72be578aa4d8885606dd4a66550f40/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f636f6e7472696275746f72732f636174616c7973742d7465616d2f636f64657374796c652e7376673f6c6f676f3d676974687562266c6f676f436f6c6f723d7768697465)
Installation
Common installation:
pip install -U catalyst-codestyle
Getting started
# make code compatible with `catalyst` code style
catalyst-make-codestyle
# check that the code is `catalyst` code style compliant
catalyst-check-codestyle
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for catalyst-codestyle-21.3rc2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81e7482c7d00c0490493a357506e3a76efd590e5cb8af13024d601b3dec2d950 |
|
MD5 | c909a3d6034bc2d616bc1af56a1bc371 |
|
BLAKE2b-256 | d3ad9b0ec28b5ccbdea74d8123839a9a6c8074f793913e92e3267bf94586e6a9 |
Close
Hashes for catalyst_codestyle-21.3rc2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8de58e7e2cc11ab6d805ebab1d8d30f12b4a10ed20b7ec9bf2740924d411b908 |
|
MD5 | b101446ed91b138643cadf7651a77753 |
|
BLAKE2b-256 | 6430e808b5ef9188bafb5597bf8b473e34b18b35d4c36f8cfe9466fb1bb5fba6 |