Name | subspyces JSON |
Version |
0.0.5
JSON |
| download |
home_page | None |
Summary | subspyces - subspaces in python! |
upload_time | 2024-08-15 12:17:57 |
maintainer | None |
docs_url | None |
author | Matheus Lima |
requires_python | None |
license | None |
keywords |
python
subspyces
pytorch
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
Pytorch is a very powerfull framework for developing ML algorithms, but implementing subspace methods in torch can be a bit repetitive when we don't have a starting point. For this, we developed this simple library which encapsulates some useful code that can be re-used and easily integrated with other torch codebases.
Raw data
{
"_id": null,
"home_page": null,
"name": "subspyces",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "python, subspyces, pytorch",
"author": "Matheus Lima",
"author_email": "mlima@cvlab.cs.tsukuba.ac.jp",
"download_url": "https://files.pythonhosted.org/packages/ed/76/b683862d79d27e299964bd90da06cb0c915fdf845a857b7d07f3bbefe247/subspyces-0.0.5.tar.gz",
"platform": null,
"description": "Pytorch is a very powerfull framework for developing ML algorithms, but implementing subspace methods in torch can be a bit repetitive when we don't have a starting point. For this, we developed this simple library which encapsulates some useful code that can be re-used and easily integrated with other torch codebases.\n",
"bugtrack_url": null,
"license": null,
"summary": "subspyces - subspaces in python!",
"version": "0.0.5",
"project_urls": null,
"split_keywords": [
"python",
" subspyces",
" pytorch"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "8f283d6910178a676b6d059129f89a9ac282df7063030ec2865bc1c6b793f8cc",
"md5": "4080cf41ac4e060fa34676a40adcf8e7",
"sha256": "c41209dd383180dba8ee65404568670cc67619a4ff5147dc146180244c982692"
},
"downloads": -1,
"filename": "subspyces-0.0.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "4080cf41ac4e060fa34676a40adcf8e7",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 15726,
"upload_time": "2024-08-15T12:17:55",
"upload_time_iso_8601": "2024-08-15T12:17:55.978608Z",
"url": "https://files.pythonhosted.org/packages/8f/28/3d6910178a676b6d059129f89a9ac282df7063030ec2865bc1c6b793f8cc/subspyces-0.0.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "ed76b683862d79d27e299964bd90da06cb0c915fdf845a857b7d07f3bbefe247",
"md5": "d12bdd213e0f2e893a416b6642284bb7",
"sha256": "2ff1eef8757cbe3bdccc67abbafdf0d27ee40741521282559b5d8f4dd46574d7"
},
"downloads": -1,
"filename": "subspyces-0.0.5.tar.gz",
"has_sig": false,
"md5_digest": "d12bdd213e0f2e893a416b6642284bb7",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 11096,
"upload_time": "2024-08-15T12:17:57",
"upload_time_iso_8601": "2024-08-15T12:17:57.199011Z",
"url": "https://files.pythonhosted.org/packages/ed/76/b683862d79d27e299964bd90da06cb0c915fdf845a857b7d07f3bbefe247/subspyces-0.0.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-15 12:17:57",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "subspyces"
}