«ZCls2» is a more faster classification model training framework
Table of Contents
Background
After nearly one and a half years of development, ZCls has integrated many training features, includes configuration module, register module, training module, and many model implementations (resnet/mobilenet/senet-sknet-resnest/acbnet-repvgg-dbbnet/ghostnet/gcnet...) and so on. In the development process, it is found that compared with the current excellent classification training framework, such as apex, the training speed of ZCls is not outstanding.
In order to better improve the training speed, we decided to develop a new training framework ZCls2, which is implemented based on apex and provides more friendly and powerful functions. In the preliminary implementation, it can be found that ZCls2 improves the training speed by at least 50% compared with ZCls. More functions are being added.
Installation
See Install
Usage
See Get started
Maintainers
- zhujian - Initial work - zjykzj
Thanks
Contributing
Anyone's participation is welcome! Open an issue or submit PRs.
Small note:
- Git submission specifications should be complied with Conventional Commits
- If versioned, please conform to the Semantic Versioning 2.0.0 specification
- If editing the README, please conform to the standard-readme specification.
License
Apache License 2.0 © 2022 zjykzj
Metadata
Release files for zcls2 0.5.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| zcls2-0.5.3.tar.gz | 55.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zcls2-0.5.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 134.5 kB
Release files / zcls2-0.5.3.tar.gz
| Download URL | zcls2-0.5.3.tar.gz |
|---|---|
| Size | 55.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.8.0
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Release files / zcls2-0.5.3-py2.py3-none-any.whl
| Download URL | zcls2-0.5.3-py2.py3-none-any.whl |
|---|---|
| Size | 79.1 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.0
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