Symplectic PyTorch Modules
Project description
SympNetsTorch
Symplectic network modules for PyTorch. This is an implementation of symplectic neural network layers described in [1].
[1] Jin, P., Zhu, A., Karniadakis, G. E., & Tang, Y. (2020). Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems. CoRR, abs/2001.03750. Retrieved from https://arxiv.org/abs/2001.03750
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sympnetstorch-0.0.2.tar.gz.
File metadata
- Download URL: sympnetstorch-0.0.2.tar.gz
- Upload date:
- Size: 103.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4da46f12d7088087a332fb269329b89385af32409e75e040649bcd330f2c1a27
|
|
| MD5 |
dc4a19046d30a2c14b283af511a8eafb
|
|
| BLAKE2b-256 |
782ad59c73ecad9b86c2c91aa1dee918974c03faf4f5442e99fa4b64a107d235
|
File details
Details for the file sympnetstorch-0.0.2-py3-none-any.whl.
File metadata
- Download URL: sympnetstorch-0.0.2-py3-none-any.whl
- Upload date:
- Size: 28.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c507c29a10bc1d2307e8ccbc68fbc2ecb9984dc18181eff2ee944866de6bce56
|
|
| MD5 |
d0c9a2ead269c796fad6136ceaf06ff4
|
|
| BLAKE2b-256 |
0ba4279f84ab67581ffd21620d22025b9053262fa98e26e497c5012a95b075ab
|
