Name | subspyces JSON |
Version |
0.0.2
JSON |
| download |
home_page | None |
Summary | subspyces - subspaces in python! |
upload_time | 2024-04-17 11:48:53 |
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/17/c1/a0494dd4745affc3de6b6045d497e1a40485f1a06d3669886adb44a0f2c4/subspyces-0.0.2.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": "0.0.2",
"project_urls": null,
"split_keywords": [
"python",
" subspyces",
" pytorch"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "36b4e0e4e1cb19804f5cb5f9145a4d7f477be89dc4df46d43f6d48b1ad0c2472",
"md5": "4dbb0906b0f46d880781393e41ee2331",
"sha256": "a7bee51220c952a6fd606357891be643044eeaae04f5cd24aec1bc40ab2774b0"
},
"downloads": -1,
"filename": "subspyces-0.0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "4dbb0906b0f46d880781393e41ee2331",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 14167,
"upload_time": "2024-04-17T11:48:51",
"upload_time_iso_8601": "2024-04-17T11:48:51.655574Z",
"url": "https://files.pythonhosted.org/packages/36/b4/e0e4e1cb19804f5cb5f9145a4d7f477be89dc4df46d43f6d48b1ad0c2472/subspyces-0.0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "17c1a0494dd4745affc3de6b6045d497e1a40485f1a06d3669886adb44a0f2c4",
"md5": "cb74722e64f4b06d31b996040d65fb10",
"sha256": "53b406fc0807751ce3e12490dd4949f1ee9e69a33ef621839b4a98365b52fa95"
},
"downloads": -1,
"filename": "subspyces-0.0.2.tar.gz",
"has_sig": false,
"md5_digest": "cb74722e64f4b06d31b996040d65fb10",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 9909,
"upload_time": "2024-04-17T11:48:53",
"upload_time_iso_8601": "2024-04-17T11:48:53.554675Z",
"url": "https://files.pythonhosted.org/packages/17/c1/a0494dd4745affc3de6b6045d497e1a40485f1a06d3669886adb44a0f2c4/subspyces-0.0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-17 11:48:53",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "subspyces"
}