sinabs-dynapcnn


Namesinabs-dynapcnn JSON
Version 1.0.15 PyPI version JSON
download
home_page
Summarysinabs plugin for porting models to chips with DYNAP-CNN technology
upload_time2023-12-07 12:07:48
maintainer
docs_urlNone
authorSynSense
requires_python
licenseGNU AGPLv3
keywords spiking snn dynapcnn speck
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            sinabs-dynapcnn
===============

[![codecov](https://codecov.io/gl/synsense/sinabs-dynapcnn/branch/master/graph/badge.svg?token=TJJJBJTHWK)](https://codecov.io/gl/synsense/sinabs-dynapcnn)

This `sinabs` plugin enables porting sinabs models to chips and dev-kits with DYNAP-CNN technology.

Documentation
-------------

You can find the latest documentation at [https://synsense.gitlab.io/sinabs-dynapcnn/](https://synsense.gitlab.io/sinabs-dynapcnn/)

Contact us
----------

- If you would like to report bugs or push any changes, you can do this on out [gitlab repository](https://gitlab.com/synsense/sinabs-dynapcnn).
- We encourage you to join our [SynSense Discord community](https://discordapp.com/channels/852094154188259338/852094154188259342/852113196201934859) to get in touch with the maintainers and other users.


            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "sinabs-dynapcnn",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "spiking,SNN,DYNAPCNN,Speck",
    "author": "SynSense",
    "author_email": "sinabs@synsense.ai",
    "download_url": "https://files.pythonhosted.org/packages/8f/e5/dc25fa3106058622f8797c849b9e790a13947850c8e3b6f7afc95646090d/sinabs-dynapcnn-1.0.15.tar.gz",
    "platform": null,
    "description": "sinabs-dynapcnn\n===============\n\n[![codecov](https://codecov.io/gl/synsense/sinabs-dynapcnn/branch/master/graph/badge.svg?token=TJJJBJTHWK)](https://codecov.io/gl/synsense/sinabs-dynapcnn)\n\nThis `sinabs` plugin enables porting sinabs models to chips and dev-kits with DYNAP-CNN technology.\n\nDocumentation\n-------------\n\nYou can find the latest documentation at [https://synsense.gitlab.io/sinabs-dynapcnn/](https://synsense.gitlab.io/sinabs-dynapcnn/)\n\nContact us\n----------\n\n- If you would like to report bugs or push any changes, you can do this on out [gitlab repository](https://gitlab.com/synsense/sinabs-dynapcnn).\n- We encourage you to join our [SynSense Discord community](https://discordapp.com/channels/852094154188259338/852094154188259342/852113196201934859) to get in touch with the maintainers and other users.\n\n",
    "bugtrack_url": null,
    "license": "GNU AGPLv3",
    "summary": "sinabs plugin for porting models to chips with DYNAP-CNN technology",
    "version": "1.0.15",
    "project_urls": {
        "Documentation": "https://synsense.gitlab.io/sinabs-dynapcnn",
        "Source Code": "https://gitlab.com/synsense/sinabs-dynapcnn"
    },
    "split_keywords": [
        "spiking",
        "snn",
        "dynapcnn",
        "speck"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "47a07ab1807c3efad4fb5bf0a66846fe3d013bd2c9d19cbba4e2a62f98e0e396",
                "md5": "4330a5080fbb79a05682d1590aafcf64",
                "sha256": "c74f445c938d07241172263232f39a0f48e15ac60ba963c6927de233e124cecf"
            },
            "downloads": -1,
            "filename": "sinabs_dynapcnn-1.0.15-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "4330a5080fbb79a05682d1590aafcf64",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 48660,
            "upload_time": "2023-12-07T12:07:45",
            "upload_time_iso_8601": "2023-12-07T12:07:45.677679Z",
            "url": "https://files.pythonhosted.org/packages/47/a0/7ab1807c3efad4fb5bf0a66846fe3d013bd2c9d19cbba4e2a62f98e0e396/sinabs_dynapcnn-1.0.15-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "8fe5dc25fa3106058622f8797c849b9e790a13947850c8e3b6f7afc95646090d",
                "md5": "c767ad232474bfdf04325999a6dd91c0",
                "sha256": "68557a690b1721322fbe1a9ae3836e9a257ae7ecc42488f4b1d89caf2e4e4c80"
            },
            "downloads": -1,
            "filename": "sinabs-dynapcnn-1.0.15.tar.gz",
            "has_sig": false,
            "md5_digest": "c767ad232474bfdf04325999a6dd91c0",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3897080,
            "upload_time": "2023-12-07T12:07:48",
            "upload_time_iso_8601": "2023-12-07T12:07:48.648918Z",
            "url": "https://files.pythonhosted.org/packages/8f/e5/dc25fa3106058622f8797c849b9e790a13947850c8e3b6f7afc95646090d/sinabs-dynapcnn-1.0.15.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-12-07 12:07:48",
    "github": false,
    "gitlab": true,
    "bitbucket": false,
    "codeberg": false,
    "gitlab_user": "synsense",
    "gitlab_project": "sinabs-dynapcnn",
    "lcname": "sinabs-dynapcnn"
}
        
Elapsed time: 0.19261s