Machine Learning Algorithms from Scratch in Python
Installation
First, install Python 3.6 from https://www.python.org, and then run:
pip install mlalgs
Implementations
Citation
If you use the library in academic work, please consider citing https://doi.org/10.1117/12.2304418 .
Bibtex Entry:
@inproceedings{tahmassebi2018ideeple,
title={ideeple: Deep learning in a flash},
author={Tahmassebi, Amirhessam},
booktitle={Disruptive Technologies in Information Sciences},
volume={10652},
pages={106520S},
year={2018},
organization={International Society for Optics and Photonics}
}
APA Entry:
Tahmassebi, A. (2018, May). ideeple: Deep learning in a flash. In Disruptive Technologies in Information Sciences (Vol. 10652, p. 106520S). International Society for Optics and Photonics.
Metadata
Release files for mlalgs 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlalgs-0.0.3.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlalgs-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.4 kB
Release files / mlalgs-0.0.3.tar.gz
| Download URL | mlalgs-0.0.3.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.0.3 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.6
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Release files / mlalgs-0.0.3-py3-none-any.whl
| Download URL | mlalgs-0.0.3-py3-none-any.whl |
|---|---|
| Size | 5.2 kB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.0.3 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.6
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