https://github.com/biaslab/l4dc-2020

Proof of concept for online hybrid message passing inference for AR-HGF.
https://github.com/biaslab/l4dc-2020

autoregressive factor-graphs hierarchical-models message-passing online-learning-algorithms time-varying

Last synced: 8 months ago
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Proof of concept for online hybrid message passing inference for AR-HGF.

• Host: GitHub
• URL: https://github.com/biaslab/l4dc-2020
• Owner: biaslab
• Created: 2019-11-22T16:40:38.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-01-17T11:58:12.000Z (over 6 years ago)
• Last Synced: 2025-10-11T06:32:02.595Z (8 months ago)
• Topics: autoregressive, factor-graphs, hierarchical-models, message-passing, online-learning-algorithms, time-varying
• Language: Jupyter Notebook
• Homepage:
• Size: 251 MB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## Proof of concept for online hybrid message passing inference for AR-HGF.

To run the experiments from AR-HGF.ipynb you need to install the following packages:

- ForneyLab.jl (v0.10.0)

- PolynomialRoots.jl

- Distributions.jl

- FastGaussQuadrature.jl

- ForwardDiff.jl

- ProgressMeter.jl

- LaTeXStrings.jl

- DSP.jl

- Plots.jl