Name | torchpathdiffeq JSON |
Version |
0.1.0
JSON |
| download |
home_page | None |
Summary | Parallelized path integration numerical method built on pytorch with backprop capabilities. |
upload_time | 2025-07-31 05:33:36 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.10 |
license | CC-BY 4.0 |
keywords |
path integral
torch
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# torchpathdiffeq
torchpathdiffeq is an adaptive numerical path integrator that parallelizes the numerical integration step evaluations. This repo serves as the path integration backbone for popcornn. torchpathdiffeq is still under construction; those interested in using it can reach out.
Raw data
{
"_id": null,
"home_page": null,
"name": "torchpathdiffeq",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.10",
"maintainer_email": null,
"keywords": "path integral, torch",
"author": null,
"author_email": "Kareem Hegazy <khegazy@berkeley.edu>",
"download_url": "https://files.pythonhosted.org/packages/65/e6/4a702c593224c830ac1b51cf3ac27892ccccd83c929181a58a45b5e0955c/torchpathdiffeq-0.1.0.tar.gz",
"platform": null,
"description": "# torchpathdiffeq\n\ntorchpathdiffeq is an adaptive numerical path integrator that parallelizes the numerical integration step evaluations. This repo serves as the path integration backbone for popcornn. torchpathdiffeq is still under construction; those interested in using it can reach out.\n",
"bugtrack_url": null,
"license": "CC-BY 4.0",
"summary": "Parallelized path integration numerical method built on pytorch with backprop capabilities.",
"version": "0.1.0",
"project_urls": {
"changelog": "https://github.com/khegazy/torchpathdiffeq/blob/main/CHANGELOG.md",
"documentation": "https://khegazy.github.io/torchpathdiffeq/",
"repository": "https://github.com/khegazy/torchpathdiffeq"
},
"split_keywords": [
"path integral",
" torch"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "65e64a702c593224c830ac1b51cf3ac27892ccccd83c929181a58a45b5e0955c",
"md5": "27ecae591f3fe51a8883e930da6e7150",
"sha256": "a6260e8dca635c093ce5dcaee21f685b4a5b9c220880f28c1bbd682e584249a1"
},
"downloads": -1,
"filename": "torchpathdiffeq-0.1.0.tar.gz",
"has_sig": false,
"md5_digest": "27ecae591f3fe51a8883e930da6e7150",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.10",
"size": 25926,
"upload_time": "2025-07-31T05:33:36",
"upload_time_iso_8601": "2025-07-31T05:33:36.805877Z",
"url": "https://files.pythonhosted.org/packages/65/e6/4a702c593224c830ac1b51cf3ac27892ccccd83c929181a58a45b5e0955c/torchpathdiffeq-0.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-31 05:33:36",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "khegazy",
"github_project": "torchpathdiffeq",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "torchpathdiffeq"
}