https://github.com/ARCambridge/MXNet_linalg_examples
Examples of building probabilistic models with MXNet linear algebra operators
https://github.com/ARCambridge/MXNet_linalg_examples
Last synced: 5 months ago
JSON representation
Examples of building probabilistic models with MXNet linear algebra operators
- Host: GitHub
- URL: https://github.com/ARCambridge/MXNet_linalg_examples
- Owner: ARCambridge
- License: bsd-3-clause
- Created: 2017-10-24T10:11:11.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-10-24T10:38:29.000Z (over 7 years ago)
- Last Synced: 2024-08-01T22:38:21.744Z (9 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 94.7 KB
- Stars: 23
- Watchers: 5
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- Awesome-MXNet - Linalg examples
README
# Probabilistic Models on MXNet
The Jupyter notebooks in the repository shows the examples that uses the linear algebra operators to implement probabilistic models such as Gaussian process, Bayesian linear regression.
## Dependency
The notebooks depend on [MXNet](https://github.com/apache/incubator-mxnet) and [GPy](https://github.com/SheffieldML/GPy). These dependency can be installed via pip:
```
pip install mxnet GPy
```