xlstm-torch

Name	xlstm-torch JSON
Version	0.0.2 JSON
	download
home_page	https://github.com/kyegomez/xLSTM
Summary	xLSTM - Pytorch
upload_time	2024-05-08 15:33:54
maintainer	None
docs_url	None
author	Kye Gomez
requires_python	<4.0,>=3.6
license	MIT
keywords	artificial intelligence deep learning optimizers prompt engineering
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            [![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)

# xLSTM
Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"




# License
MIT

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/kyegomez/xLSTM",
    "name": "xlstm-torch",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.6",
    "maintainer_email": null,
    "keywords": "artificial intelligence, deep learning, optimizers, Prompt Engineering",
    "author": "Kye Gomez",
    "author_email": "kye@apac.ai",
    "download_url": "https://files.pythonhosted.org/packages/b0/10/584abbf5f15f2302aeda5faaaeb54253f96074e5b56af196076502a98a5c/xlstm_torch-0.0.2.tar.gz",
    "platform": null,
    "description": "[![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)\n\n# xLSTM\nImplementation of xLSTM in Pytorch from the paper: \"xLSTM: Extended Long Short-Term Memory\"\n\n\n\n\n# License\nMIT\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "xLSTM - Pytorch",
    "version": "0.0.2",
    "project_urls": {
        "Documentation": "https://github.com/kyegomez/xLSTM",
        "Homepage": "https://github.com/kyegomez/xLSTM",
        "Repository": "https://github.com/kyegomez/xLSTM"
    },
    "split_keywords": [
        "artificial intelligence",
        " deep learning",
        " optimizers",
        " prompt engineering"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1971fbd0ec44356768ca3d60c1cbb9286006cd5f4e3298072476684cf5e3eea1",
                "md5": "20b918fd69accca2b52ed10d39164479",
                "sha256": "c2376117b16db09bfdd49889ce84fd1e04d84ed712c55f52ec5c49f980fb2b71"
            },
            "downloads": -1,
            "filename": "xlstm_torch-0.0.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "20b918fd69accca2b52ed10d39164479",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.6",
            "size": 3501,
            "upload_time": "2024-05-08T15:33:53",
            "upload_time_iso_8601": "2024-05-08T15:33:53.309069Z",
            "url": "https://files.pythonhosted.org/packages/19/71/fbd0ec44356768ca3d60c1cbb9286006cd5f4e3298072476684cf5e3eea1/xlstm_torch-0.0.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b010584abbf5f15f2302aeda5faaaeb54253f96074e5b56af196076502a98a5c",
                "md5": "6f95238c5f2d59529106e539e43e5cac",
                "sha256": "840c149a284e407309ba518390e326364444dc0fa9ab74164ab598c6db450d95"
            },
            "downloads": -1,
            "filename": "xlstm_torch-0.0.2.tar.gz",
            "has_sig": false,
            "md5_digest": "6f95238c5f2d59529106e539e43e5cac",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.6",
            "size": 3569,
            "upload_time": "2024-05-08T15:33:54",
            "upload_time_iso_8601": "2024-05-08T15:33:54.659535Z",
            "url": "https://files.pythonhosted.org/packages/b0/10/584abbf5f15f2302aeda5faaaeb54253f96074e5b56af196076502a98a5c/xlstm_torch-0.0.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-08 15:33:54",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "kyegomez",
    "github_project": "xLSTM",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "xlstm-torch"
}