layout | title | subtitle |
---|---|---|
home |
DeepHyper |
Scale your exploration |
<iframe src="https://ghbtns.com/github-btn.html?user=deephyper&repo=deephyper&type=star&count=true&size=large" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
<iframe src="https://ghbtns.com/github-btn.html?user=deephyper&repo=deephyper&type=fork&count=true&size=large" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
$ pip install deephyper
Optimize the parameters of a system to maximise performance.
Explore the connexions and operations of neural network architectures.
Quantify uncertainty from diverse model exploration.
Scale to thousands of parallel workers with our centralized and fully distributed search algorithms.
The DeepHyper project is lead by Prasanna Balaprakash (pbalapra[at]anl[dot]gov) and co-lead by Romain Egele (romainegele[at]gmail[dot]com).