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-0.2.2.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-0.2.2.tar.gz.
File metadata
- Download URL: Cb_FloodDy-0.2.2.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 |
b7f6e5d4d529d2d1619672015e431c74e0e1524f7d97dd7ef53a5392f1709c2e
|
|
| MD5 |
fdf87eb710cef49cbab16141bfabde29
|
|
| BLAKE2b-256 |
81b3d96062459801e2ff99e87482fbc45b3d6c30c193b271b7d83519f845924e
|
File details
Details for the file Cb_FloodDy-0.2.2-py3-none-any.whl.
File metadata
- Download URL: Cb_FloodDy-0.2.2-py3-none-any.whl
- Upload date:
- Size: 64.0 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 |
21456ea4dce06aaa8397f332aba27e6d2ccc89ed201d8affd99bcc9203ed2c32
|
|
| MD5 |
b6bc58e13ccfb835079e4f4e96e828ee
|
|
| BLAKE2b-256 |
3b3e4d741a908bbecb79a74225b41d211424e5856cd70eac3045cbbfbc607214
|