Team 7: 3D UNet for atmospheric aerosol prediction

Place training.nc and evaluation.nc in ./data/
Run Preprocessing.ipynb to generate normalized data used for training and evaluation
sh ./run.sh to run train.py training script across multiple GPUs
Evaluation.ipynb for evaluating relative error after models have been saved to ./checkpoints/
Visualization.ipynb for visualization.

Link to presentation:

Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
checkpoints		checkpoints
data		data
example		example
unet		unet
.gitignore		.gitignore
Evaluation.ipynb		Evaluation.ipynb
Preprocessing.ipynb		Preprocessing.ipynb
README.md		README.md
Visualize.ipynb		Visualize.ipynb
data.py		data.py
run.sh		run.sh
train.py		train.py