This section overviews machine learning frameworks and libraries available on the clusters.
## Keras
Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. For more information, see the [official website][c].
For the list of available versions, type:
```console
$ml av Keras
```
## NetKet
NetKet is an open-source project for the development of machine intelligence for many-body quantum systems.
For more information, see the [official website][d] or [GitHub][e].
## TensorFlow
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. For more information, see the [official website][a].
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@@ -18,21 +33,13 @@ For the list of available versions, type:
$ml av Theano
```
## Keras
Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. For more information, see the [official website][c].