mgoulet847/tagi: Tractable Approximate Gaussian Inference in Neural Networks
In this package, we implement the Tractable Approximate Gaussian Inference (TAGI) is a method developped by Goulet et al. (2020), used in Bayesian neural networks.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Magali-Chen Goulet [aut, cre], Mélina Mailhot [aut], James-Alexandre Goulet [aut], Luong-Ha Nguyen [aut] |
| Maintainer | Magali-Chen Goulet <mag_goul@live.concordia.ca> |
| License | GPL (>= 3) |
| Version | 0.0.0.9000 |
| URL | https://github.com/mgoulet847/tagi |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
