{ "info": { "author": "Soma Dhavala", "author_email": "soma.dhavala@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 1 - Planning", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering" ], "description": "[![GitHub version](https://badge.fury.io/gh/nicolashug%2FSurprise.svg)](https://badge.fury.io/gh/nicolashug%2FSurprise)\n[![Documentation Status](https://readthedocs.org/projects/idly/badge/?version=latest)](http://idly.readthedocs.io/en/latest/?badge=latest)\n[![Build Status](https://travis-ci.org/dhavala/idly.svg?branch=master)](https://travis-ci.org/dhavala/idly)\n[![python versions](https://img.shields.io/badge/python-2.7%2C%203.5%2C%203.6-blue.svg)](http://idly.readthedocs.io)\n[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)\n\n\nidly\n========\n\nOverview\n--------\n\n[idly](http://idly.readthedocs.io) is a collection of popular machine learning algorithms implemented via DNN framework\n\nGoals:\n\n1. Port most common Stat/ML models using DNN frameworks\n2. Import/Export models from/to a variety of DNN frameworks\n3. Drive interpretibility of the models\n\n\nWhat's in a name - you ask?\n\nCan we have idly along with nice kapy/Java/Mocha and take that question at a nearby Caffe. If you don't know, idly is a popular south Indian steamed rice pancake that tastes just right with a cup of filter coffee.\n\nIf you are still wondering - idly stands for **I**nterpretable **D**eep **L**earning. **Y**ay!\n\nInstall:\n```sh\n$ pip install idly\n```", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://readthedocs.org/projects/idly/", "keywords": "recommender recommendation system", "license": "GPLv3+", "maintainer": "", "maintainer_email": "", "name": "idly", "package_url": "https://pypi.org/project/idly/", "platform": "", "project_url": "https://pypi.org/project/idly/", "project_urls": { "Homepage": "https://readthedocs.org/projects/idly/" }, "release_url": "https://pypi.org/project/idly/0.0.3/", "requires_dist": null, "requires_python": "", "summary": "interpretable deep learning. yay!", "version": "0.0.3" }, "last_serial": 3857135, "releases": { "0.0.3": [ { "comment_text": "", "digests": { "md5": "237b937f51093a99e85fe710cfd75a0c", "sha256": "7714dea8fabf638c8bd6fbd922c2fda2eee534825c9837704a3c92bc97d9303b" }, "downloads": -1, "filename": "idly-0.0.3.tar.gz", "has_sig": false, "md5_digest": "237b937f51093a99e85fe710cfd75a0c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3398438, "upload_time": "2018-05-12T18:52:16", "url": "https://files.pythonhosted.org/packages/54/a0/e8cc77204fffa58a6a956711de1dc9d6883392e265d05a22a5c76ec7ac4d/idly-0.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "237b937f51093a99e85fe710cfd75a0c", "sha256": "7714dea8fabf638c8bd6fbd922c2fda2eee534825c9837704a3c92bc97d9303b" }, "downloads": -1, "filename": "idly-0.0.3.tar.gz", "has_sig": false, "md5_digest": "237b937f51093a99e85fe710cfd75a0c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3398438, "upload_time": "2018-05-12T18:52:16", "url": "https://files.pythonhosted.org/packages/54/a0/e8cc77204fffa58a6a956711de1dc9d6883392e265d05a22a5c76ec7ac4d/idly-0.0.3.tar.gz" } ] }