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 | |
|---|---|---|---|
| catalyst-codestyle-21.9.2.tar.gz | 10.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| catalyst_codestyle-21.9.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
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 |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| 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 |
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|
|
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
|
