https://github.com/activatedgeek/svgd

PyTorch implementation of Stein Variational Gradient Descent
https://github.com/activatedgeek/svgd

bayesian bayesian-inference kernel-methods non-parametric-inference stein-variational-gradient-decent

Last synced: 8 months ago
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PyTorch implementation of Stein Variational Gradient Descent

• Host: GitHub
• URL: https://github.com/activatedgeek/svgd
• Owner: activatedgeek
• Created: 2019-03-18T01:53:46.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2023-06-16T01:14:19.000Z (over 2 years ago)
• Last Synced: 2025-03-01T17:12:14.959Z (about 1 year ago)
• Topics: bayesian, bayesian-inference, kernel-methods, non-parametric-inference, stein-variational-gradient-decent
• Language: Jupyter Notebook
• Homepage: https://sanyamkapoor.com/kb/the-stein-gradient
• Size: 3.31 MB
• Stars: 43
• Watchers: 3
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

          
# The Stein Gradient

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/activatedgeek/stein-gradient/blob/master/Stein.ipynb)

This is the complementary notebook repository for the blog post **The Stein Gradient** at [https://sanyamkapoor.com/kb/the-stein-gradient](https://sanyamkapoor.com/kb/the-stein-gradient)