A python package for physics constrained machine learning by the M3-learning research group at Drexel University
Project description
AutoPhysLearn
Add a short description here!
A longer description of your project goes here…
Note
This project has been set up using PyScaffold 4.5. For details and usage information on PyScaffold see https://pyscaffold.org/.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
autophyslearn-0.2.4.tar.gz
(474.1 kB
view details)
Built Distribution
File details
Details for the file autophyslearn-0.2.4.tar.gz
.
File metadata
- Download URL: autophyslearn-0.2.4.tar.gz
- Upload date:
- Size: 474.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 53c5c8dd7353b7f8b2e567f22678cf140ba5eb925275ed689bb284b4183cf554 |
|
MD5 | 9c809ef29fe5cd2e508645eeef0ae74e |
|
BLAKE2b-256 | 3ff9db292ad5ec662e1e56a5121a6f4963ee4ab638cbbd80e0a60eb907d6ec5d |
File details
Details for the file AutoPhysLearn-0.2.4-py3-none-any.whl
.
File metadata
- Download URL: AutoPhysLearn-0.2.4-py3-none-any.whl
- Upload date:
- Size: 10.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0988d871554c8c552ccaebadcfb1f6e6af13077fb5f274de85a156a618efda1a |
|
MD5 | 561fd34db491cc1660220a16c7121b3d |
|
BLAKE2b-256 | b2edc48aa00700fd25aa3ac80b0a4ecd77d04b883a2395d145521a0d6d1c350e |