LitClassifier

How to use

git clone https://github.com/anhvth/litclassifier
pip install -e ./litclassifier

Trainer example

lit_trainer --help
# Demo training with simple mnist model
# To change model please take a look at `configs/00_mnist_vanila.py`
lit_trainer configs/00_mnist_vanila.py

Development Status
- 3 - Alpha
Intended Audience
- Developers
License
- OSI Approved :: Apache Software License
Natural Language
- English
Programming Language

Metadata

Development Status
- 3 - Alpha
Intended Audience
- Developers
License
- OSI Approved :: Apache Software License
Natural Language
- English
Programming Language

Release files for fast-ple 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fast-ple 0.0.4
File	Size	Uploaded
fast_ple-0.0.4.tar.gz	26.1 kB	Dec 19, 2022	Details

Built distribution (wheel)

Table of built distributions (wheels) for fast-ple 0.0.4
File	Interpreter	ABI	Platform	Reset
fast_ple-0.0.4-py3-none-any.whl 27.8 kB Dec 19, 2022	Python 3	none	any	Details

Total release size: 53.9 kB

Release files / fast_ple-0.0.4.tar.gz

Download URL	fast_ple-0.0.4.tar.gz
Size	26.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`7817bf6c9d8b9fd1e3e7ddfb02ee16a66f3b5b678a54ae3087bcd5cb065b3930`
BLAKE2b-256 checksum How to use checksums	`660eeeb5f4416c0f30786e13db6c7825449ea00d8d15a366ee4309ccf160fa14`
Upload date	Dec 19, 2022
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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.9.5`

Release files / fast_ple-0.0.4-py3-none-any.whl

Download URL	fast_ple-0.0.4-py3-none-any.whl
Size	27.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`42f8c2fd61dc21bcc604de4aae133b20d385f4de83c0b6656862c38fb49e72e2`
BLAKE2b-256 checksum How to use checksums	`f19a3db660dbd570d571b84a95baf84ba8646963fea19f7a82386aaf9d18a953`
Upload date	Dec 19, 2022
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/2.25.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.9.5`