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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: 4 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 6 years ago)
- Default Branch: master
- Last Pushed: 2023-06-16T01:14:19.000Z (over 1 year ago)
- Last Synced: 2024-10-15T03:54:19.369Z (4 months 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: 41
- Watchers: 4
- Forks: 4
- Open Issues: 2
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
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)