A set of python modules for machine learning and data mining especially in the biological field.
Project description
Kerasy
I want to deepen my understanding of deep learning by imitating the sophisticated neural networks API, Keras.
Keras
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
How to generate the articles.
.Kerasy
├── MkDocs
│ ├── MkDocs-important
| | | ├── img
| | | ├── theme
│ │ │ └── index.md
│ │ └── yml-templates.yml
│ ├── site
│ ├── MkDocs-src
│ └── mkdocs.yml
├── README.md
├── doc
├── kerasy
├── pelican
│ ├── Makefile
│ ├── backdrop
│ ├── pelican-src
│ ├── pelican-works
│ ├── pelicanconf.py
│ └── publishconf.py
└── pelican2mkdocs.py
Prepare articles (.md or .ipynb.) NOTE: article name (XXX.md) and Slug(YYY) must be the same.(XXX=YYY)
Generate the html article by ``pelican` <https://docs.getpelican.com/en/stable/>`_. .. code-block:: sh
# @Kerasy/pelican $ make html # pelican-src(.md, .ipynb) → pelican-works (.html)
Move html files (made by pelican) to MkDocs-src as a .md style.
Make a mkdocs.yml file
Paset from yml-templates.yml
Get information from the Hierarchical structure of pelican-src. .. code-block:
# @Kerasy $ python pelican2mkdocs
Generate the articles by mkdocs build. .. code-block:
# @Kerasy/MkDocs $ mkdocs build # MkDocs-src(.md) → site (.html)
Copy some important static files (at MkDocs-important) to site dir
Move MkDocs/site to doc.
※ A program that performs these operations collectively is ```GithubKerasy.sh`` <https://github.com/iwasakishuto/iwasakishuto.github.io/blob/master/ShellScripts/GithubKerasy.sh>`_.
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# [Library packaging]
# Normal. (source distribution.)
# $ python setup.py sdist
# wheel version. (Recommended.)
$ python setup.py bdist_wheel
# [Upload to PyPI]
$ twine upload dist/*
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