A toolkit for WeatherBench based on PyTorch
Project description
wxbtool
A toolkit for WeatherBench based on PyTorch
Install
pip install wxbtool
Cheat sheet
Start a data set server for 3-days prediction of t850 by Weyn's solution
wxb dserve -m wxbtool.specs.res5_625.t850weyn -s Setting3d
Start a training process for a UNet model following Weyn's solution
wxb train -m wxbtool.zoo.res5_625.unet.t850d3sm_weyn
Start a testing process for a UNet model following Weyn's solution
wxb test -m wxbtool.zoo.res5_625.unet.t850d3sm_weyn
Start a data set server with unix socket binding
wxb dserve -m wxbtool.specs.res5_625.t850weyn -s Setting3d -b unix:/tmp/test.sock
Start a training process with unix socket binding
wxb train -m wxbtool.zoo.res5_625.unet.t850d3sm_weyn -d unix:/tmp/test.sock
How to use
- quick start
- understanding the physical process by plotting
- develop your own neural model
- try a toy physical model
- explore the possibility to combine neural and physical model together
How to release
uv build
uv publish
git tag va.b.c master
git push origin va.b.c
Contributors
- Mingli Yuan (Mountain)
- Ren Lu
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
wxbtool-0.1.17.tar.gz
(34.4 kB
view details)
Built Distribution
wxbtool-0.1.17-py3-none-any.whl
(45.5 kB
view details)
File details
Details for the file wxbtool-0.1.17.tar.gz
.
File metadata
- Download URL: wxbtool-0.1.17.tar.gz
- Upload date:
- Size: 34.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.4.29
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bdfeef6c10acae1b19b7f97730bf73f57fcd7a7211510949b3cfe7fa08c7a242 |
|
MD5 | dd85ef4096cac15487ec9b3e4386e4bb |
|
BLAKE2b-256 | 6c3ea125fbc7c1ccbfabc92c2dd1638140f3f9d8030bac76caee395eb149f8c8 |
File details
Details for the file wxbtool-0.1.17-py3-none-any.whl
.
File metadata
- Download URL: wxbtool-0.1.17-py3-none-any.whl
- Upload date:
- Size: 45.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.4.29
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e84f1a35f48247137c12489632d6d7d4fd2dc1ab8c3b165c5d60b241e0ab9667 |
|
MD5 | 4bce7241a975f6e008a069700c088319 |
|
BLAKE2b-256 | 084446c6e1ebe7bcaf22eb8b2cdc47e9d9ba4d8071e842ddfb14b6eaac8f80a1 |