UNDER CONSTRUCTION
Self-supervised learning sklearn-style
To directly jump into the code look at the sample notebook
Provides a Model inheriting sklearn.base.BaseEstimator for
Method |
Paper |
API |
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Install
Create a new python=3.9 env and install skself from pip
pip install skself
Examples
import skself
... TBD
Usage
All parmeters
import skself
... TBD
Docs
FOR API Reference see
https://sklef.readthedocs.io/en/latest/autoapi/skself/index.html
Cite
If this project helped you during your work: Until a publication is available, please cite as
Tobias Schiele et al. (2023). skself - Self-supervised learning sklearn-style. https://github.com/thetoby9944/skself.
@misc{Schiele2019,
author = {Tobias Schiele, Daria Kern, Prof. Dr. Ulrich Klauck},
title = {Skself - Self-supervised learning sklearn-style},
year = {2022},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/thetoby9944/skself}},
}
Release files for skself 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| skself-0.1.0.tar.gz | 24.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| skself-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.3 kB
Release files / skself-0.1.0.tar.gz
| Download URL | skself-0.1.0.tar.gz |
|---|---|
| Size | 24.6 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Release files / skself-0.1.0-py3-none-any.whl
| Download URL | skself-0.1.0-py3-none-any.whl |
|---|---|
| Size | 20.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|