Accelerated DL R&D
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
Release files for catalyst-codestyle 21.9.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| catalyst-codestyle-21.9.2.tar.gz | 10.3 kB | Without provenance | Details for catalyst-codestyle-21.9.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| catalyst_codestyle-21.9.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for catalyst_codestyle-21.9.2-py2.py3-none-any.whl |
Total release size: 22.1 kB
Release files / catalyst-codestyle-21.9.2.tar.gz
| Download URL | catalyst-codestyle-21.9.2.tar.gz |
|---|---|
| Size | 10.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b0241b8aea7880c3b8ceb404eb48da2293dc8312e4aa2a4cf4dcb3e69f568fea
|
|
BLAKE2b-256 checksum How to use checksums |
7fbed841b5b645d28864392dfa85fb6d25a52a9ce0cb34705b7c3eebc4479fb4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
|
Release files / catalyst_codestyle-21.9.2-py2.py3-none-any.whl
| Download URL | catalyst_codestyle-21.9.2-py2.py3-none-any.whl |
|---|---|
| Size | 11.8 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
aba2facddc834195055da6b3808e7bd9afecb6f6d3b76a638bcded67412daece
|
|
BLAKE2b-256 checksum How to use checksums |
8bf79fa614ec7c7ea8df368c34a36ed1852cd132ed4d7737910ed455a271a23b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
|
Security for catalyst-codestyle 21.9.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
