A machine learning / bayesian inference engine assigning attributes to objects
Modular Probabilistic Programming on MXNet
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Bayesian dessert for Lasagne
Deep Learning over PyTorch
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano