{ "info": { "author": "Shyue Ping Ong", "author_email": "ongsp@eng.ucsd.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering :: Chemistry", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Scientific/Engineering :: Physics", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "Veidt is a deep learning library for materials science. It builds on top of\nthe popular pymatgen (Python Materials Genomics) materials analysis library\nand well-known deep learning libraries like Keras and Tensorflow. The aim is\nto link the power of both kinds of libraries for rapid experimentation and\nlearning of materials data.\n\n", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://www.materialsvirtuallab.org", "keywords": "materials,science,deep,learning", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "veidt", "package_url": "https://pypi.org/project/veidt/", "platform": "", "project_url": "https://pypi.org/project/veidt/", "project_urls": { "Homepage": "http://www.materialsvirtuallab.org" }, "release_url": "https://pypi.org/project/veidt/0.0.2/", "requires_dist": [ "keras", "monty", "numpy", "pymatgen", "scikit-learn", "scipy", "tensorflow" ], "requires_python": "", "summary": "Veidt is a deep learning library for materials science.", "version": "0.0.2" }, "last_serial": 3183356, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "285923838c1e6d500784097bf848b958", "sha256": "7331b60354bb8785eaad8518d5eb62d0a5ce6e169034047a5506c19354ba24e0" }, "downloads": -1, "filename": "veidt-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "285923838c1e6d500784097bf848b958", "packagetype": "bdist_wheel", "python_version": "3.6", "requires_python": null, "size": 5501, "upload_time": "2017-08-12T16:58:58", "url": "https://files.pythonhosted.org/packages/dd/6f/6c9398bf87fb1905cebcc8b6c53f0481c56f9f71ccbe30192032d6e58692/veidt-0.0.1-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "f2959cee82388c58c4409e601f27aacf", "sha256": "2e7cf1e1eb298d43a86f3bec1f553242d73750c707ec23e894ebb02816e25e10" }, "downloads": -1, "filename": "veidt-0.0.1.tar.gz", "has_sig": false, "md5_digest": "f2959cee82388c58c4409e601f27aacf", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4875, "upload_time": "2017-08-12T16:58:56", "url": "https://files.pythonhosted.org/packages/76/3e/ed59ae5738f2ad055851739a8d7a5e2851a67ab7c72bf8db38e713613e5c/veidt-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "704f4492575d538c1f67363913007984", "sha256": "4aaf315054a8718ced6681c6ed2eb66067c29ee46e972095c4318ac8f87331e6" }, "downloads": -1, "filename": "veidt-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "704f4492575d538c1f67363913007984", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 25451, "upload_time": "2017-09-18T20:20:51", "url": "https://files.pythonhosted.org/packages/d0/e3/7b7c33cd1729940c702c9f1e7b5b2881ad171ab189b25bb2e70d8af2e45c/veidt-0.0.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "90d759128a2ecfc793894edb92aa72a1", "sha256": "237c478ad7f5c191aea32a9aefc23ea81b63032337d7de104e73ca49cadaef19" }, "downloads": -1, "filename": "veidt-0.0.2.tar.gz", "has_sig": false, "md5_digest": "90d759128a2ecfc793894edb92aa72a1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 16331, "upload_time": "2017-09-18T20:20:53", "url": "https://files.pythonhosted.org/packages/0a/4d/8bb0f771e972358aa17a6c33ff40304338c0df739d22cc0eec4a47435c39/veidt-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "704f4492575d538c1f67363913007984", "sha256": "4aaf315054a8718ced6681c6ed2eb66067c29ee46e972095c4318ac8f87331e6" }, "downloads": -1, "filename": "veidt-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "704f4492575d538c1f67363913007984", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 25451, "upload_time": "2017-09-18T20:20:51", "url": "https://files.pythonhosted.org/packages/d0/e3/7b7c33cd1729940c702c9f1e7b5b2881ad171ab189b25bb2e70d8af2e45c/veidt-0.0.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "90d759128a2ecfc793894edb92aa72a1", "sha256": "237c478ad7f5c191aea32a9aefc23ea81b63032337d7de104e73ca49cadaef19" }, "downloads": -1, "filename": "veidt-0.0.2.tar.gz", "has_sig": false, "md5_digest": "90d759128a2ecfc793894edb92aa72a1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 16331, "upload_time": "2017-09-18T20:20:53", "url": "https://files.pythonhosted.org/packages/0a/4d/8bb0f771e972358aa17a6c33ff40304338c0df739d22cc0eec4a47435c39/veidt-0.0.2.tar.gz" } ] }