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
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
catalyst-codestyle-21.9.tar.gz
(10.3 kB
view hashes)
Built Distribution
Close
Hashes for catalyst_codestyle-21.9-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 825d92bcc879b664ee86559805907434387a90d324f855b5d1fc275d50fc5756 |
|
MD5 | 07dd97556f2d2d8b01289fbe8ce74baf |
|
BLAKE2b-256 | 815f6618e85aebc3a9cc764102984bca385ff63e5b42589ec485ebb1fab48925 |