https://github.com/zachmayer/rbm
Restricted Boltzmann Machines in R
https://github.com/zachmayer/rbm
Last synced: 3 months ago
JSON representation
Restricted Boltzmann Machines in R
- Host: GitHub
- URL: https://github.com/zachmayer/rbm
- Owner: zachmayer
- License: other
- Created: 2014-01-22T15:08:45.000Z (about 12 years ago)
- Default Branch: master
- Last Pushed: 2020-10-01T09:43:51.000Z (over 5 years ago)
- Last Synced: 2024-04-11T04:14:09.587Z (almost 2 years ago)
- Language: R
- Size: 7.19 MB
- Stars: 36
- Watchers: 7
- Forks: 15
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- fucking-machine-learning-tutorials - RBMs in R
- Machine-Learning-Tutorials - RBMs in R
README
[](https://travis-ci.org/zachmayer/rbm)
[](https://coveralls.io/r/zachmayer/rbm)
#Restricted Boltzmann Machines
Based on [Edwin Chen's](https://github.com/echen/restricted-boltzmann-machines) python implementation of RBM. [Read his blog post](http://blog.echen.me/2011/07/18/introduction-to-restricted-boltzmann-machines/) for an excellent overview of the algorithm.
[See Andrew Landgraf's blog for another R implementation of RBM](http://andland.github.io/blog/2013/01/14/restricted-boltzmann-machines-in-r/).
To install the latest development version from github:
```{R}
devtools::install_github('zachmayer/rbm')
```