semvec/pypi-packages huggingface dataset:
jicbioimage.illustrate 0.6.1
Python package providing a set of tools for creating annotated images and illustrations.
License: MIT
Keywords: microscopy,image analysis

The ``jicbioimage.illustrate`` Python package
=============================================

.. image:: https://badge.fury.io/py/jicbioimage.illustrate.svg
   :target: http://badge.fury.io/py/jicbioimage.illustrate
   :alt: PyPi package

.. image:: https://travis-ci.org/JIC-CSB/jicbioimage.illustrate.svg?branch=master
   :target: https://travis-ci.org/JIC-CSB/jicbioimage.illustrate
   :alt: Travis CI build status (Linux)

.. image:: https://ci.appveyor.com/api/projects/status/36gy8tjiymldgx8x/branch/master?svg=true
   :target: https://ci.appveyor.com/project/tjelvar-olsson/jicbioimage-illustrate
   :alt: AppVeyor CI build status (Windows)

.. image::
   https://codecov.io/github/JIC-CSB/jicbioimage.illustrate/coverage.svg?branch=master
   :target: https://codecov.io/github/JIC-CSB/jicbioimage.illustrate?branch=master
   :alt: Code Coverage

.. image:: https://readthedocs.org/projects/jicbioimageillustrate/badge/?version=latest
   :target: https://readthedocs.org/projects/jicbioimageillustrate?badge=latest
   :alt: Documentation Status

The ``jicbioimage.illustrate`` Python package provides a set of tools for
creating annotated images and illustrations.

- Documentation: http://jicbioimageillustrate.readthedocs.io
- GitHub: https://github.com/JIC-CSB/jicbioimage.illustrate
- PyPI: https://pypi.python.org/pypi/jicbioimage.illustrate
- Free software: MIT License

Features
--------

- Functionality for creating illustrations and annotated images
- Cross-platform: Linux, Mac and Windows are all supported
- Works with Python 2.7, 3.3 and 3.4

Related packages
----------------

``jicbioimage``
^^^^^^^^^^^^^^^

- Documentation: http://jicbioimage.readthedocs.io
- GitHub: https://github.com/JIC-CSB/jicbioimage

``jicbioimage.core``
^^^^^^^^^^^^^^^^^^^^^^^^^

- Documentation: http://jicbioimagecore.readthedocs.io
- GitHub: https://github.com/JIC-CSB/jicbioimage.core

``jicbioimage.transform``
^^^^^^^^^^^^^^^^^^^^^^^^^

- Documentation: http://jicbioimagetransform.readthedocs.io
- GitHub: https://github.com/JIC-CSB/jicbioimage.transform

``jicbioimage.segment``
^^^^^^^^^^^^^^^^^^^^^^^^^

- Documentation: http://jicbioimagesegment.readthedocs.io
- GitHub: https://github.com/JIC-CSB/jicbioimage.segment
pyrecsys 0.0.3
Collaborative filtering recommender system
License: MIT

PyRecSys
=======

Python Collaborative Filtering

Overview
--------


Features
--------


Installation
------------

To install from [PyPI](https://pypi.python.org/pypi/recsys/), use pip:

    $ pip install recsys

Or clone the repo:

    $ git clone https://github.com/vlarine/pyrecsys.git
    $ cd pyrecsys
    $ pip install -r requirements.txt
    $ pip install .


Getting Started
---------------


License
-------

Released under the MIT License


References
----------

Collaborative Filtering for Implicit Feedback Datasets.
Yifan Hu. AT&T Labs – Research. Florham Park, NJ 07932.
Yehuda Koren. Yahoo! Research.
[http://yifanhu.net/PUB/cf.pdf](http://yifanhu.net/PUB/cf.pdf)

Ben Frederickson. Fast Python Collaborative Filtering
for Implicit Datasets.
[https://github.com/benfred/implicit](https://github.com/benfred/implicit)

Evgeny Frolov, Ivan Oseledets. Fifty Shades of Ratings: How to Benefit
from a Negative Feedback in Top-N Recommendations Tasks.
[https://arxiv.org/abs/1607.04228](https://arxiv.org/abs/1607.04228)
[https://github.com/Evfro/polara](https://github.com/Evfro/polara)