Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

crstal

The Cuda Risk Simulation & Trading Analytic Library is a quantitative framework for Counterparty risk and xVA's using nvidia's cuda framework. An interactive widget set is also provided as a jupyter notebook extension.

Installation

To install use pip:

$ pip install crstal
$ jupyter nbextension enable --py --sys-prefix crstal

For a development installation (requires npm),

$ git clone https://github.com/sylam/crstal.git
$ cd crstal
$ pip install -e .
$ jupyter nbextension install --py --symlink --user crstal
$ jupyter nbextension enable --py --user crstal

About

widget set for jupyter

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages