Deep Learning Toolkit for Splunk v4

Deep Learning Toolkit for Splunk (DLTK) is a Splunk App that allows users to better deploy, observe and scale advanced data science and machine learning projects with Splunk. In a cloud-native way, DLTK lets you elastically and dynamically deploy models to CPU and GPU based container environments such as Docker, Kubernetes or OpenShift to run algorithms in libraries like Spark, TensorFlow, PyTorch, Rapids and Dask.

Currently, this project (DLTK v4) is not yet released on Splunkbase. However, DLTK v3 is available on Splunkbase. DLTK v4 is still under development but will eventually be released. If you want to install DLTK v4 from this repository, please see the Installation Guide.

Documentation

This repository is used to build DLTK. If you are looking for documentation, please see the following:

• User Guide
• Administrator Guide
• Developer Guide

Community Supported

Deep Learning Toolkit for Splunk is an open source project developed by Splunkers with contributions from the community of partners and customers. It will be enhanced, maintained and supported by the community, led by Splunkers with deep subject matter expertise. This is not an official Splunk supported product.

License

See LICENSE.

Contributors

Andreas Greeske, Anthony Tellez, Greg Ainslie-Malik, Philipp Drieger, Robert Fujara

If you are interested in contributing to this project, please see the Contributing Guidelines.