keras_climate
A Keras 3 (TensorFlow / JAX / PyTorch backend) framework of models for climate modeling and Earth observation, plus tooling to port pretrained weights from the original reference implementations (almost always PyTorch) onto the Keras equivalents.
Install
pip install git+https://github.com/anas-rz/keras-climate
Quick start
from keras_climate.remote_sensing import UNet, SegFormer
from keras_climate.forecasting import PatchTST
from keras_climate.weather import ConvLSTMNowcaster
from keras_climate.foundation import PrithviClassifier
model = UNet(input_shape=(256, 256, 4), num_classes=5) # 4-band (e.g. RGB+NIR) input
model.summary()
forecaster = PatchTST(seq_len=336, pred_len=96, num_channels=7)
All builders return a plain keras.Model, so standard model.compile(...)
/ model.fit(...) / model.save(...) all work unchanged.
See the documentation for the full model roster, the pretrained-weight-porting guide, and which models ship a ready-to-download real checkpoint.
1 maintainer
Metadata
1 maintainer
Release files for keras-climate 0.1.0
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