| Name | PyNeuralNet JSON |
| Version |
1.1.11
JSON |
| download |
| home_page | https://github.com/ItzLoghotXD/PyNeuralNet/ |
| Summary | PyNeuralNet is a python library for prototyping and building neural networks. PyNeuralNet uses PyTorch as a computational backend for deep learning models. |
| upload_time | 2024-06-17 11:28:21 |
| maintainer | ItzLoghotXD |
| docs_url | None |
| author | ItzLoghotXD |
| requires_python | None |
| license | MIT License Copyright (c) 2024 ItzLoghotXD Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
neural
network
ai
neural network
algorithm
loghot
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
PyNeuralNet
============
PyNeuralNet is a python library for prototyping and building neural networks. PyNeuralNet uses PyTorch as a computational backend for deep learning models.
## Installation
------------
pip install pyneuralnet
## User Guide
----------
Raw data
{
"_id": null,
"home_page": "https://github.com/ItzLoghotXD/PyNeuralNet/",
"name": "PyNeuralNet",
"maintainer": "ItzLoghotXD",
"docs_url": null,
"requires_python": null,
"maintainer_email": "loghot.gamerz.official@gmail.com",
"keywords": "neural, network, ai, neural network, algorithm, loghot",
"author": "ItzLoghotXD",
"author_email": "loghot.gamerz.official@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/39/8e/cbd64c47dbf435bafa10d6b6bb5ba86daad200de32ae8aecc56b7e9ba0ac/PyNeuralNet-1.1.11.tar.gz",
"platform": null,
"description": "PyNeuralNet \r\n============\r\n\r\nPyNeuralNet is a python library for prototyping and building neural networks. PyNeuralNet uses PyTorch as a computational backend for deep learning models.\r\n\r\n## Installation\r\n------------\r\n pip install pyneuralnet\r\n\r\n## User Guide\r\n----------\r\n",
"bugtrack_url": null,
"license": "MIT License Copyright (c) 2024 ItzLoghotXD Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.",
"summary": "PyNeuralNet is a python library for prototyping and building neural networks. PyNeuralNet uses PyTorch as a computational backend for deep learning models.",
"version": "1.1.11",
"project_urls": {
"Download": "https://pypi.org/project/PyNeuralNet/",
"Homepage": "https://github.com/ItzLoghotXD/PyNeuralNet/"
},
"split_keywords": [
"neural",
" network",
" ai",
" neural network",
" algorithm",
" loghot"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "d34c59e640b7ac7d0f5bb43d0979851285372d89fc529d0f4ee49ded364e6e51",
"md5": "f913f911af751d02bce6a493fcecc578",
"sha256": "638523c2558ab02305b59c938552df49765dc2da024c01cc18e65748128b23fd"
},
"downloads": -1,
"filename": "PyNeuralNet-1.1.11-py3-none-any.whl",
"has_sig": false,
"md5_digest": "f913f911af751d02bce6a493fcecc578",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 7121,
"upload_time": "2024-06-17T11:28:11",
"upload_time_iso_8601": "2024-06-17T11:28:11.092540Z",
"url": "https://files.pythonhosted.org/packages/d3/4c/59e640b7ac7d0f5bb43d0979851285372d89fc529d0f4ee49ded364e6e51/PyNeuralNet-1.1.11-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "398ecbd64c47dbf435bafa10d6b6bb5ba86daad200de32ae8aecc56b7e9ba0ac",
"md5": "736fb1bb0f101e8bed6fa113a127bb2e",
"sha256": "dcbeb6014639cead43dfdc9f5c5d8b691b1cbb13bafba386f9c77e912e9d35b6"
},
"downloads": -1,
"filename": "PyNeuralNet-1.1.11.tar.gz",
"has_sig": false,
"md5_digest": "736fb1bb0f101e8bed6fa113a127bb2e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 5784,
"upload_time": "2024-06-17T11:28:21",
"upload_time_iso_8601": "2024-06-17T11:28:21.743750Z",
"url": "https://files.pythonhosted.org/packages/39/8e/cbd64c47dbf435bafa10d6b6bb5ba86daad200de32ae8aecc56b7e9ba0ac/PyNeuralNet-1.1.11.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-06-17 11:28:21",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "ItzLoghotXD",
"github_project": "PyNeuralNet",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "pyneuralnet"
}
