Neural Operators!
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
neurop
About neurop
neurop is a Python package implementing Neural Operators, which are a class of operating learning models. The package currently supports the following operator architectures -
- Fourier Neural Operator (FNO)
- Deep Operator Network (DeepONet)
- Complex Neural Operator (CoNO)
Usage
neurop is published on PyPi and can be installed using pip -
pip install neurop
License
neurop is available under the MIT License.
Attribution
This project contains an independent implementation of the technique described in:
Karn Tiwari, N M Anoop Krishnan, Prathosh A P, "CoNO: Complex Neural Operator for Continuous Dynamical Systems," arXiv, 2023.
Inspired by the code from this repo, but not based on or derived from it.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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 neurop-0.0.5.tar.gz.
File metadata
- Download URL: neurop-0.0.5.tar.gz
- Upload date:
- Size: 8.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ba85347f1e35f76211e572c4244b17cd8b05a85b564ba0a684853e7d5bfcbedb
|
|
| MD5 |
a1fb0cf077d4ee27af26c974f6f48c92
|
|
| BLAKE2b-256 |
5b5e5f2a8574f47a06675fae7a443c2a48d2f6ad9c6bd6324acef0b0d216897f
|
Provenance
The following attestation bundles were made for neurop-0.0.5.tar.gz:
Publisher:
workflow.yml on lonelyneutrin0/neurop
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
neurop-0.0.5.tar.gz -
Subject digest:
ba85347f1e35f76211e572c4244b17cd8b05a85b564ba0a684853e7d5bfcbedb - Sigstore transparency entry: 264165380
- Sigstore integration time:
-
Permalink:
lonelyneutrin0/neurop@a8dc4be4b08f4f49af3ee0d64334f5941a0d1cc6 -
Branch / Tag:
refs/tags/v0.0.5 - Owner: https://github.com/lonelyneutrin0
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
workflow.yml@a8dc4be4b08f4f49af3ee0d64334f5941a0d1cc6 -
Trigger Event:
release
-
Statement type:
File details
Details for the file neurop-0.0.5-py3-none-any.whl.
File metadata
- Download URL: neurop-0.0.5-py3-none-any.whl
- Upload date:
- Size: 10.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
981c29c8919308c08d74b89a60bea51c7cf833d4312cc96d88c6d15b4b43a6ae
|
|
| MD5 |
a48a56e3173ca831995322c915a63a61
|
|
| BLAKE2b-256 |
c5363abfd97ebebdf99cb4613db15adbb4f73bdaf4e394647d13c95b8604b90f
|
Provenance
The following attestation bundles were made for neurop-0.0.5-py3-none-any.whl:
Publisher:
workflow.yml on lonelyneutrin0/neurop
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
neurop-0.0.5-py3-none-any.whl -
Subject digest:
981c29c8919308c08d74b89a60bea51c7cf833d4312cc96d88c6d15b4b43a6ae - Sigstore transparency entry: 264165384
- Sigstore integration time:
-
Permalink:
lonelyneutrin0/neurop@a8dc4be4b08f4f49af3ee0d64334f5941a0d1cc6 -
Branch / Tag:
refs/tags/v0.0.5 - Owner: https://github.com/lonelyneutrin0
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
workflow.yml@a8dc4be4b08f4f49af3ee0d64334f5941a0d1cc6 -
Trigger Event:
release
-
Statement type:
