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A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
A library of scalable Bayesian generalised linear models with fancy features
A collection of python tools for extracting descriptors from images (whole and sub-image descriptors).
Machine Learning Summer School
Large-scale spatial inference with Tensorflow.
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