A toolkit for WeatherBench based on PyTorch
Project description
wxbtool
A toolkit for WeatherBench based on PyTorch
Warning: This project is at its early stage and the api is not very stable
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
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
python3 setup.py sdist bdist_wheel
python3 -m twine upload dist/*
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-0.0.43.tar.gz
(26.8 kB
view hashes)
Built Distribution
Close
Hashes for wxbtool-0.0.43-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e53b1638d0d4747c5bf48d7a66c7610c3feb7044c4fbf07c1508b35a455b496 |
|
MD5 | e6a58ce1df318f9d43e02e12b9c72a20 |
|
BLAKE2b-256 | c545126b88e2e7b7fc9b6c9fc5366aeb3f05c30f783dfd6c6f4d6cc52943f472 |