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-0.1.4.tar.gz
(65.7 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-0.1.4.tar.gz.
File metadata
- Download URL: Cb_FloodDy-0.1.4.tar.gz
- Upload date:
- Size: 65.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
48b0141e92c55e69e69f721a842b14d176903fc2d6329ac13476f602546bb12e
|
|
| MD5 |
082281c37a0fd52caa5e5122a4cece24
|
|
| BLAKE2b-256 |
5a355b010533c1cbdb75ae3407adff151e70fa36b5c3d420f9f0efe70bae6892
|
File details
Details for the file Cb_FloodDy-0.1.4-py3-none-any.whl.
File metadata
- Download URL: Cb_FloodDy-0.1.4-py3-none-any.whl
- Upload date:
- Size: 68.6 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 |
4f2f60844f1ad01de1643f0fb13172546d7c6bab7fd724eac79a8c11915e05d6
|
|
| MD5 |
763f3f1d70f88bd7b9fdaf56b3ca7ede
|
|
| BLAKE2b-256 |
2aafca49e4aec5e28f587c8d4d294d078809cd527536ab6063f909ea9556f185
|
