A cluster-based temporal attention approach for predicting cyclone-induced compound flood dynamics
Project details
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
Cb_FloodDy-0.2.0.tar.gz
(60.7 kB
view details)
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 Cb_FloodDy-0.2.0.tar.gz.
File metadata
- Download URL: Cb_FloodDy-0.2.0.tar.gz
- Upload date:
- Size: 60.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
68beaf93ce70dc194e6e01b393ee5ced6aaf86f0e73470ec738bae0ff8c93bd6
|
|
| MD5 |
de4cb095932bb29c597c302e2a0f34cd
|
|
| BLAKE2b-256 |
4fb529a8c9d43c9e8629013148443662f631aae04ec42e83356ecd4ba8bd8267
|
File details
Details for the file Cb_FloodDy-0.2.0-py3-none-any.whl.
File metadata
- Download URL: Cb_FloodDy-0.2.0-py3-none-any.whl
- Upload date:
- Size: 64.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7675530bfe3f1cc53b72223cea4433256739d9b6761128b2f195e6a3854ff358
|
|
| MD5 |
fd2e25015b0985a59e66028cb3a0e1c1
|
|
| BLAKE2b-256 |
4dac7552afc1fbe2559bc2767a31af85c9b17f42cb651f1787c400677fdef946
|
