PyTorch implementation of Stein Variational Gradient Descent
SVGD to the quantum setting. Crowdfund: $QUANTUM: Prof. Ferrie
Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
An implementation of SVGD in PyTorch
This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Implementation of Stein Variational Gradient Descent with TensorFlow 2.0
Python and MATLAB code for Stein Variational sampling methods
A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)
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