{
    "info": {
        "author": "A.Star",
        "author_email": "astar@snowland.ltd",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "======================================================================\nSequence Modeling Benchmarks and Temporal Convolutional Networks (TCN)\n======================================================================\n\nThis repository contains the experiments done in the work [An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling](https://arxiv.org/abs/1803.01271) by Shaojie Bai, J. Zico Kolter and Vladlen Koltun.\n\nWe specifically target a comprehensive set of tasks that have been repeatedly used to compare the effectiveness of different recurrent networks, and evaluate a simple, generic but powerful (purely) convolutional network on the recurrent nets' home turf.\n\nExperiments are done in PyTorch. If you find this repository helpful, please cite our work:\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/ASTARCHEN/TCN",
        "keywords": "",
        "license": "Apache v2.0",
        "maintainer": "",
        "maintainer_email": "",
        "name": "astar-tcn",
        "package_url": "https://pypi.org/project/astar-tcn/",
        "platform": "all",
        "project_url": "https://pypi.org/project/astar-tcn/",
        "project_urls": {
            "Homepage": "https://github.com/ASTARCHEN/TCN"
        },
        "release_url": "https://pypi.org/project/astar-tcn/0.0.1/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "tcn package",
        "version": "0.0.1"
    },
    "last_serial": 5317019,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "f03d27154b8e7aa4e631196f307dbcf5",
                    "sha256": "88d0bdde2c67244c25a8c0839af9c68e9498287b341dc0423b82cc68b3bb998b"
                },
                "downloads": -1,
                "filename": "astar_tcn-0.0.1-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "f03d27154b8e7aa4e631196f307dbcf5",
                "packagetype": "bdist_wheel",
                "python_version": "3.6",
                "requires_python": null,
                "size": 3936,
                "upload_time": "2019-05-25T18:18:07",
                "url": "https://files.pythonhosted.org/packages/6f/f7/5547710b2267f79a31851e52069d9e26fb23b15aa057b59e850c46dd776b/astar_tcn-0.0.1-py3-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "f03d27154b8e7aa4e631196f307dbcf5",
                "sha256": "88d0bdde2c67244c25a8c0839af9c68e9498287b341dc0423b82cc68b3bb998b"
            },
            "downloads": -1,
            "filename": "astar_tcn-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f03d27154b8e7aa4e631196f307dbcf5",
            "packagetype": "bdist_wheel",
            "python_version": "3.6",
            "requires_python": null,
            "size": 3936,
            "upload_time": "2019-05-25T18:18:07",
            "url": "https://files.pythonhosted.org/packages/6f/f7/5547710b2267f79a31851e52069d9e26fb23b15aa057b59e850c46dd776b/astar_tcn-0.0.1-py3-none-any.whl"
        }
    ]
}