torchensemble

Name	torchensemble JSON
Version	0.2.0 JSON
	download
home_page	https://github.com/TorchEnsemble-Community/Ensemble-Pytorch
Summary	A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model
upload_time	2024-04-22 01:25:48
maintainer	Yi-Xuan Xu
docs_url	None
author	None
requires_python	>=3.9
license	BSD 3-Clause
keywords	deep learning pytorch ensemble learning
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage

            A unified ensemble framework for pytorch to easily improve the performance and robustness of your deep learning model.


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/TorchEnsemble-Community/Ensemble-Pytorch",
    "name": "torchensemble",
    "maintainer": "Yi-Xuan Xu",
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": "xuyx@lamda.nju.edu.cn",
    "keywords": "Deep Learning, PyTorch, Ensemble Learning",
    "author": null,
    "author_email": null,
    "download_url": null,
    "platform": null,
    "description": "A unified ensemble framework for pytorch to easily improve the performance and robustness of your deep learning model.\r\n\r\n",
    "bugtrack_url": null,
    "license": "BSD 3-Clause",
    "summary": "A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model",
    "version": "0.2.0",
    "project_urls": {
        "Bug Tracker": "https://github.com/TorchEnsemble-Community/Ensemble-Pytorch/issues",
        "Documentation": "https://ensemble-pytorch.readthedocs.io",
        "Homepage": "https://github.com/TorchEnsemble-Community/Ensemble-Pytorch",
        "Source Code": "https://github.com/TorchEnsemble-Community/Ensemble-Pytorch"
    },
    "split_keywords": [
        "deep learning",
        " pytorch",
        " ensemble learning"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "3da1cdcb03222d38e897c2e64a29991ebca30763f280bba9ce7dcac0b34766a7",
                "md5": "e9b6f7f7604410a6bc5eccbc6c2ecdea",
                "sha256": "8c191b6bdc9d8e2346f540951f52e7d638c3a05fcf2c5ffa5236bbe8c0d4c81d"
            },
            "downloads": -1,
            "filename": "torchensemble-0.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e9b6f7f7604410a6bc5eccbc6c2ecdea",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 43905,
            "upload_time": "2024-04-22T01:25:48",
            "upload_time_iso_8601": "2024-04-22T01:25:48.301606Z",
            "url": "https://files.pythonhosted.org/packages/3d/a1/cdcb03222d38e897c2e64a29991ebca30763f280bba9ce7dcac0b34766a7/torchensemble-0.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-22 01:25:48",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "TorchEnsemble-Community",
    "github_project": "Ensemble-Pytorch",
    "travis_ci": false,
    "coveralls": true,
    "github_actions": true,
    "requirements": [],
    "lcname": "torchensemble"
}