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DGBaN.egg-info
DGBaN.egg-info
 
 
__pycache__
__pycache__
 
 
datasets
datasets
 
 
models
models
 
 
training
training
 
 
PBS_run.sh
PBS_run.sh
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
requirements.txt
requirements.txt
 
 
setup.py
setup.py
 
 
slurm_run.sh
slurm_run.sh
 
 
test.ipynb
test.ipynb
 
 
test_model.ipynb
test_model.ipynb
 
 
test_one_pixel_model.ipynb
test_one_pixel_model.ipynb
 
 
utils.py
utils.py
 
 

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DGBaN

Deep Generative Bayesian Network. The goal is to be able to generate simulation samples for physics experiments reproducing the proper probabilistic distribution of the dataset the model is trained on.

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Deep Generative Bayesian Network

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neural-network generative-model bayesian convolutional-neural-network bayesian-neural-network

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