keras-complex


Namekeras-complex JSON
Version 0.2.3 PyPI version JSON
download
home_page
SummaryComplex values in Keras
upload_time2022-12-06 23:06:31
maintainer
docs_urlNone
author
requires_python>=3.8
licenseTensorflow Port: MIT License Copyright (c) 2019 Jesper Sören Dramsch Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Deep Complex Networks: MIT License Copyright (c) 2017 Chiheb Trabelsi Copyright (c) 2017 Olexa Bilaniuk Copyright (c) 2017 Ying Zhang Copyright (c) 2017 Dmitriy Serdyuk Copyright (c) 2017 Sandeep Subramanian Copyright (c) 2017 João Felipe Santos Copyright (c) 2017 Soroush Mehri Copyright (c) 2017 Negar Rostamzadeh Copyright (c) 2017 Yoshua Bengio Copyright (c) 2017 Christopher J Pal Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords machine learning deep learning complex numbers keras tensorflow
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "keras-complex",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": "Jesper Dramsch <jesper@dramsch.net>",
    "keywords": "Machine Learning,Deep Learning,Complex Numbers,Keras,TensorFlow",
    "author": "",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/b7/26/60dd3fb61ebd277ad769a80166879cf10b38cc0c85b239dfa134eb496e9d/keras-complex-0.2.3.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": "Tensorflow Port: MIT License  Copyright (c) 2019 Jesper S\u00f6ren Dramsch  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:  The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.  Deep Complex Networks: MIT License  Copyright (c) 2017 Chiheb Trabelsi  Copyright (c) 2017 Olexa Bilaniuk  Copyright (c) 2017 Ying Zhang  Copyright (c) 2017 Dmitriy Serdyuk  Copyright (c) 2017 Sandeep Subramanian  Copyright (c) 2017 Jo\u00e3o Felipe Santos  Copyright (c) 2017 Soroush Mehri  Copyright (c) 2017 Negar Rostamzadeh  Copyright (c) 2017 Yoshua Bengio  Copyright (c) 2017 Christopher J Pal  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:  The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ",
    "summary": "Complex values in Keras",
    "version": "0.2.3",
    "split_keywords": [
        "machine learning",
        "deep learning",
        "complex numbers",
        "keras",
        "tensorflow"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "960d96e5c27031f669b8226980032efb",
                "sha256": "b6b5aebe5b923d9214ed0535f7d4672650cac128aed8946ca41222be7cbeb8ff"
            },
            "downloads": -1,
            "filename": "keras_complex-0.2.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "960d96e5c27031f669b8226980032efb",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 26864,
            "upload_time": "2022-12-06T23:06:28",
            "upload_time_iso_8601": "2022-12-06T23:06:28.825595Z",
            "url": "https://files.pythonhosted.org/packages/64/56/d70af39c2e6fac9803c57a17bcd4f5afb81b218a13682b6a21bc8fb44ecf/keras_complex-0.2.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "98ecf7f910dc555049f7b72dfe112963",
                "sha256": "8f7e456a86655af051139d025ad9ef061b9b40b0a7f78af64481bdc067a08118"
            },
            "downloads": -1,
            "filename": "keras-complex-0.2.3.tar.gz",
            "has_sig": false,
            "md5_digest": "98ecf7f910dc555049f7b72dfe112963",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 128403,
            "upload_time": "2022-12-06T23:06:31",
            "upload_time_iso_8601": "2022-12-06T23:06:31.212223Z",
            "url": "https://files.pythonhosted.org/packages/b7/26/60dd3fb61ebd277ad769a80166879cf10b38cc0c85b239dfa134eb496e9d/keras-complex-0.2.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-12-06 23:06:31",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "keras-complex"
}
        
Elapsed time: 1.33336s