{
    "info": {
        "author": "Erick Guan",
        "author_email": "fantasticfears@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v2 (GPLv2)",
            "Programming Language :: Python :: 3"
        ],
        "description": "Knowledge Graph Embedding Learning\n=====\n\nThis is an learning modules with PyTorch to learn knowledge embeddings. It's more towards research now.\nIt heavily used another library [kgekit](https://github.com/fantasticfears/kgekit).\n\nThe design follows DIY, data oriented design and a few OO classes.\n\n# Features\n\n- Small memory footprint\n- Fast parallelized sampling and batch done in C++\n- Deterministic\n- Easily extensible and readable\n- Visualization",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://github.com/fantasticfears/kgegrok",
        "keywords": "",
        "license": "GPLv2",
        "maintainer": "",
        "maintainer_email": "",
        "name": "kgegrok",
        "package_url": "https://pypi.org/project/kgegrok/",
        "platform": "",
        "project_url": "https://pypi.org/project/kgegrok/",
        "project_urls": {
            "Homepage": "http://github.com/fantasticfears/kgegrok"
        },
        "release_url": "https://pypi.org/project/kgegrok/0.5.0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "knowledge representation learning",
        "version": "0.5.0"
    },
    "last_serial": 4794493,
    "releases": {
        "0.5.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "1a3904bfcd0c311597407ccb76b83db4",
                    "sha256": "36c36f01d7b180402f185695fad26f675bda2e502b2230b36e93d08289a3e4c4"
                },
                "downloads": -1,
                "filename": "kgegrok-0.5.0-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "1a3904bfcd0c311597407ccb76b83db4",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 28106,
                "upload_time": "2019-02-08T07:37:41",
                "url": "https://files.pythonhosted.org/packages/c4/48/f86da918e720172615f78af2352da025bb9983933389d683e1e3960d9d3b/kgegrok-0.5.0-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "c792ec67193a41b02a55d2f916ce769d",
                    "sha256": "231c9bf16adb39c300b7c9bf9722ad618bb7333c7033a2488cc7ecaba7583624"
                },
                "downloads": -1,
                "filename": "kgegrok-0.5.0.tar.gz",
                "has_sig": false,
                "md5_digest": "c792ec67193a41b02a55d2f916ce769d",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2680351,
                "upload_time": "2019-02-08T07:37:28",
                "url": "https://files.pythonhosted.org/packages/ef/04/81b936e170b5769324d3d518228809bdd78aac1568950e62042587f5b09a/kgegrok-0.5.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "1a3904bfcd0c311597407ccb76b83db4",
                "sha256": "36c36f01d7b180402f185695fad26f675bda2e502b2230b36e93d08289a3e4c4"
            },
            "downloads": -1,
            "filename": "kgegrok-0.5.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "1a3904bfcd0c311597407ccb76b83db4",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 28106,
            "upload_time": "2019-02-08T07:37:41",
            "url": "https://files.pythonhosted.org/packages/c4/48/f86da918e720172615f78af2352da025bb9983933389d683e1e3960d9d3b/kgegrok-0.5.0-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "c792ec67193a41b02a55d2f916ce769d",
                "sha256": "231c9bf16adb39c300b7c9bf9722ad618bb7333c7033a2488cc7ecaba7583624"
            },
            "downloads": -1,
            "filename": "kgegrok-0.5.0.tar.gz",
            "has_sig": false,
            "md5_digest": "c792ec67193a41b02a55d2f916ce769d",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2680351,
            "upload_time": "2019-02-08T07:37:28",
            "url": "https://files.pythonhosted.org/packages/ef/04/81b936e170b5769324d3d518228809bdd78aac1568950e62042587f5b09a/kgegrok-0.5.0.tar.gz"
        }
    ]
}