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-0.3.0.tar.gz
(66.1 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-0.3.0.tar.gz.
File metadata
- Download URL: Cb_FloodDy-0.3.0.tar.gz
- Upload date:
- Size: 66.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bb5db31d4a8f20d70a34e2dde5f63a93f89de358a52eb777924b40bfae234e88
|
|
| MD5 |
963dfb13293eecd0d26ab14c4e46105d
|
|
| BLAKE2b-256 |
ff6835de0ee8bf691a94bff5cf117af52f3724d8de09b9ac1ed3d2eb88bf38ab
|
File details
Details for the file Cb_FloodDy-0.3.0-py3-none-any.whl.
File metadata
- Download URL: Cb_FloodDy-0.3.0-py3-none-any.whl
- Upload date:
- Size: 69.0 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 |
2a6d82be7db5be4e8be8df321eb2e58d88fd92d2e4132204c9e9d47dedcae3e0
|
|
| MD5 |
85679503a2731477a929c375bb955fe1
|
|
| BLAKE2b-256 |
05a0fd63f455b84c73687afb197aa0ed1b8e2beaca4a63effdfb8c78c8995270
|