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
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-0.0.61.tar.gz
(27.3 kB
view hashes)
Built Distribution
Close
Hashes for wxbtool-0.0.61-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 097edf979c048c5ea1d2be3cf609bfb488ea329b4900af3b5cd4d3133dd8e83f |
|
MD5 | c021e6d65ee1165dfdbb07cc844d79fc |
|
BLAKE2b-256 | ab8dd707c8bc38f25e6b8d14464ca920e44a609b0167d36e200591cdcabce00b |