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* [ InferPy] ( https://github.com/PGM-Lab/InferPy ) - Deep Probabilistic Modelling Made Easy. <img height =" 20 " src =" img/tf_big2.png " alt =" sklearn " >
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* [ GPflow] ( http://gpflow.readthedocs.io/en/latest/?badge=latest ) - Gaussian processes in TensorFlow. <img height =" 20 " src =" img/tf_big2.png " alt =" sklearn " >
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* [ PyStan] ( https://github.com/stan-dev/pystan ) - Bayesian inference using the No-U-Turn sampler (Python interface).
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- * [ gelato] ( https://github.com/ferrine/gelato ) - Bayesian dessert for Lasagne. <img height =" 20 " src =" img/theano_big.png " alt =" Theano compatible " >
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* [ sklearn-bayes] ( https://github.com/AmazaspShumik/sklearn-bayes ) - Python package for Bayesian Machine Learning with scikit-learn API. <img height =" 20 " src =" img/sklearn_big.png " alt =" sklearn " >
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* [ skggm] ( https://github.com/skggm/skggm ) - Estimation of general graphical models. <img height =" 20 " src =" img/sklearn_big.png " alt =" sklearn " >
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* [ pgmpy] ( https://github.com/pgmpy/pgmpy ) - A python library for working with Probabilistic Graphical Models.
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