PINA is a Python package providing an easy interface to deal with physics-informed neural networks (PINN) for the approximation of (differential, nonlinear, …) functions. Based on Pytorch, PINA offers a simple and intuitive way to formalize a specific problem and solve it using PINN. The approximated solution of a differential equation can be implemented using PINA in a few lines of code thanks to the intuitive and user-friendly interface.
Metadata
Release files for pina-mathlab 0.0.3.post2309
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pina-mathlab-0.0.3.post2309.tar.gz | 37.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pina_mathlab-0.0.3.post2309-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 82.4 kB
Release files / pina-mathlab-0.0.3.post2309.tar.gz
| Download URL | pina-mathlab-0.0.3.post2309.tar.gz |
|---|---|
| Size | 37.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
111ec8a9d76762f4d116d3d110a7cdee85b088f251968366c6eaa24a09cc8b50
|
|
BLAKE2b-256 checksum How to use checksums |
95def074adc748eb5f86b0e7055a7feff8b616fb3497fa0c4e7c0458d3a05dee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
Release files / pina_mathlab-0.0.3.post2309-py3-none-any.whl
| Download URL | pina_mathlab-0.0.3.post2309-py3-none-any.whl |
|---|---|
| Size | 44.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
66ca61bc845b8caf5593c065186389eb2c8fa494d418a5123cd72ec64241d01c
|
|
BLAKE2b-256 checksum How to use checksums |
480ef48020b165580d6ebe9985225bfd047cbdc07c4f7566cf6f1344d1b07b93
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|