deepbays

Name	deepbays JSON
Version	0.1.11 JSON
	download
home_page	None
Summary	Bayesian deep neural networks in the proportional regime as renormalized kernel gaussian processes
upload_time	2024-11-05 12:54:09
maintainer	None
docs_url	None
author	Rosalba Pacelli
requires_python	None
license	None
keywords	python machine learning gaussian processes neural networks
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            Compute expected predictor of a Bayesian deep neural networks in the proportional regime in a non-parametric way using the equivalent GP

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "deepbays",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "python, machine learning, gaussian processes, neural networks",
    "author": "Rosalba Pacelli",
    "author_email": "<rosalba.pacelli@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/fa/fc/153a9be7e8ddc49f48bb96410043ea41fa1d7f1d0ee253217cbd332579d6/deepbays-0.1.11.tar.gz",
    "platform": null,
    "description": "Compute expected predictor of a Bayesian deep neural networks in the proportional regime in a non-parametric way using the equivalent GP\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Bayesian deep neural networks in the proportional regime as renormalized kernel gaussian processes",
    "version": "0.1.11",
    "project_urls": null,
    "split_keywords": [
        "python",
        " machine learning",
        " gaussian processes",
        " neural networks"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "0d61a2add711b1c513d0a9f4c869b020c5db9bc9eb774c6812332ddb26c78876",
                "md5": "e760dfa2755e7ac667384d533eff5413",
                "sha256": "fc26c4b254ab2f27aa6ee9ca3e9324c860da4432f6bfd1fd22901e2017b51138"
            },
            "downloads": -1,
            "filename": "deepbays-0.1.11-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e760dfa2755e7ac667384d533eff5413",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 33761,
            "upload_time": "2024-11-05T12:54:07",
            "upload_time_iso_8601": "2024-11-05T12:54:07.852315Z",
            "url": "https://files.pythonhosted.org/packages/0d/61/a2add711b1c513d0a9f4c869b020c5db9bc9eb774c6812332ddb26c78876/deepbays-0.1.11-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "fafc153a9be7e8ddc49f48bb96410043ea41fa1d7f1d0ee253217cbd332579d6",
                "md5": "e376f2ccfee06174503495b3ced5975b",
                "sha256": "e9b41ea215afa6dd37386b6690d6d8d20c5181bb373f6dc43f9a88c764367456"
            },
            "downloads": -1,
            "filename": "deepbays-0.1.11.tar.gz",
            "has_sig": false,
            "md5_digest": "e376f2ccfee06174503495b3ced5975b",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 28371,
            "upload_time": "2024-11-05T12:54:09",
            "upload_time_iso_8601": "2024-11-05T12:54:09.535886Z",
            "url": "https://files.pythonhosted.org/packages/fa/fc/153a9be7e8ddc49f48bb96410043ea41fa1d7f1d0ee253217cbd332579d6/deepbays-0.1.11.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-05 12:54:09",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "deepbays"
}