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Author:
ARCHES lab @ INRIA
Summary:
Machine learning package for training, running, and evaluating ML models on geospatial data (specifically climate and weather data)
Latest version:
0.2.2
Required dependencies:
axial-attention
|
dask
|
diffusers
|
einops
|
fasteners
|
gcsfs
|
huggingface-hub
|
hydra-core
|
lightning
|
matplotlib
|
netcdf4
|
pyshtools
|
scipy
|
seaborn
|
submitit
|
tensordict
|
timm
|
torch
|
torchvision
|
tqdm
|
wandb
|
xarray
|
zarr
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