A cluster-based temporal attention approach for predicting cyclone-induced compound flood dynamics
Project description
Cb_FloodDy
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-0.1.1.tar.gz
(64.8 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-0.1.1.tar.gz.
File metadata
- Download URL: Cb_FloodDy-0.1.1.tar.gz
- Upload date:
- Size: 64.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e9a155545c57c217feab96d9d3bf4d9a615162152b8fb3aabe7fd9e94c71336
|
|
| MD5 |
376d77c59c1187487476c43676774eea
|
|
| BLAKE2b-256 |
5fac8fe516551f440b35afd0735cb77e3524708d4349c56a93a2326d2b385197
|
File details
Details for the file Cb_FloodDy-0.1.1-py3-none-any.whl.
File metadata
- Download URL: Cb_FloodDy-0.1.1-py3-none-any.whl
- Upload date:
- Size: 67.7 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 |
a213805d0966ac763fdf4ad675d93c7c2f5ba4bede9c1eec8142827b7dab978c
|
|
| MD5 |
1d1d77f19db54d7f04495ad71e45936f
|
|
| BLAKE2b-256 |
b0d7a58799ca76e4eda47e004b7da641b02d1675acd91440f0915d906d9cad93
|
