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Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
models		models
.gitignore		.gitignore
124_supplement.pdf		124_supplement.pdf
README.md		README.md
datasets.py		datasets.py
download_preprocess_data.py		download_preprocess_data.py
eval_generative_rat_spn.py		eval_generative_rat_spn.py
eval_quick_generative_rat_spn.py		eval_quick_generative_rat_spn.py
generative_rat_spn.py		generative_rat_spn.py
install_tensorflow_venv.sh		install_tensorflow_venv.sh
quick_generative_rat_spn.py		quick_generative_rat_spn.py
train_rat_spn.py		train_rat_spn.py
utils.py		utils.py

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RAT-SPN

Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

V0.1

RAT-SPN model
Experiments for generative learning using EM

Quick Start

git clone https://github.com/cambridge-mlg/RAT-SPN cd RAT-SPN ./install_tensorflow_venv.sh source ratspn_venv/bin/activate python download_preprocess_data.py python quick_generative_rat_spn.py python eval_quick_generative_rat_spn.py