#计算机科学#A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
#计算机科学#Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
TensorFlow implementation of Neural Variational Inference for Text Processing
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Sample code for running deterministic variational inference to train Bayesian neural networks
Deep Gaussian Processes with Doubly Stochastic Variational Inference
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"