-
Updated
Apr 2, 2018 - Jupyter Notebook
stein-variational-gradient-decent
Here are 12 public repositories matching this topic...
TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)
-
Updated
Sep 5, 2018 - Python
A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
-
Updated
Dec 13, 2018 - Jupyter Notebook
Python and MATLAB code for Stein Variational sampling methods
-
Updated
May 25, 2019 - Jupyter Notebook
Implementation of Stein Variational Gradient Descent with TensorFlow 2.0
-
Updated
Sep 11, 2019 - Python
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
-
Updated
Aug 4, 2020 - Python
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
-
Updated
Jan 11, 2021 - C++
This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
-
Updated
Jul 16, 2021 - Python
An implementation of SVGD in PyTorch
-
Updated
Dec 4, 2021 - Jupyter Notebook
Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
-
Updated
Dec 28, 2021 - Python
SVGD to the quantum setting. Crowdfund: $QUANTUM: Prof. Ferrie
-
Updated
Oct 30, 2022 - Jupyter Notebook
PyTorch implementation of Stein Variational Gradient Descent
-
Updated
Jun 16, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to the stein-variational-gradient-decent topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the stein-variational-gradient-decent topic, visit your repo's landing page and select "manage topics."