Splunk App for Data Science and Deep Learning | Splunkbase
You are currently in preview mode for new Splunkbase! To return to the original Splunkbase, click here.
Splunk App for Data Science and Deep Learning app icon

Splunk App for Data Science and Deep Learning

The Splunk App for Data Science and Deep Learning ( DLTK ) allows you to integrate advanced custom machine learning and deep learning systems with the Splunk platform. It extends Splunk’s Machine Learning Toolkit ( MLTK ) with prebuilt Docker containers for TensorFlow, PyTorch and a collection of various data science, NLP and classical machine learning libraries. By using predefined workflows for rapid development with Jupyter Lab Notebooks the app enables you to build, test (e.g. using TensorBoard) and operationalise your customised models with Splunk. You can leverage GPUs for compute intense training tasks and flexibly deploy models on CPU or GPU enabled containers. The app ships with various examples that showcase different deep learning and machine learning algorithms for classification, regression, forecasting, clustering, graph analytics and NLP. This allows you to tackle advanced data science use cases in Splunk’s main areas of IT Operations, Security, Application Development, IoT, Business Analytics and beyond.

Built by Splunk Works
splunk product badge

Latest Version 3.9.0
July 7, 2022
Compatibility
Platform Version: 9.0, 8.2, 8.1, 8.0
Rating

5

StarStarStarStarStar

(6)

Support
Splunk App for Data Science and Deep Learning support icon
Not Supported
Learn more
Ranking

#26

in Business Analytics

The Splunk App for Data Science and Deep Learning ( DLTK ) allows you to integrate advanced custom machine learning and deep learning systems with the Splunk platform. It extends Splunk’s Machine Learning Toolkit ( MLTK ) with prebuilt Docker containers for TensorFlow, PyTorch and a collection of various data science, NLP and classical machine learning libraries. By using predefined workflows for rapid development with Jupyter Lab Notebooks the app enables you to build, test (e.g. using TensorBoard) and operationalise your customised models with Splunk. You can leverage GPUs for compute intense training tasks and flexibly deploy models on CPU or GPU enabled containers. The app ships with various examples that showcase different deep learning and machine learning algorithms for classification, regression, forecasting, clustering, graph analytics and NLP. This allows you to tackle advanced data science use cases in Splunk’s main areas of IT Operations, Security, Application Development, IoT, Business Analytics and beyond.

Categories

Created By

Splunk Works

Contributors

Daniel Federschmidt, Phil Salm, Lukas Utz, Greg Ainslie-Malik, Phillipp Drieger, Anthony Tellez, Pierre Brunel, Robert Fujara

Type

app

Downloads

5967

Featured in Collection

Getting Started with ML

Resources

Login to report this app listing