Home > Workload Solutions > Data Analytics > White Papers > White Paper—Cloud Native Splunk Enterprise with SmartStore—Predictive Maintenance for IT Operations > Splunk Apps
Splunkbase is a site maintained by Splunk where apps and add-ons built by Splunk and by users can be posted and shared. You can browse and download apps and add-ons from Splunkbase and apply them to a running Splunk instance.
A Splunk app that is useful for predictive maintenance, and that is used in this solution is the Splunk Data Science and Deep Learning app (Deep Learning Toolkit, or DLTK). The DLTK enables 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 images for TensorFlow, PyTorch, and a collection of various data science, Natural Language Processing (NLP), and classical machine learning libraries.
The app ships with various examples that showcase different deep learning and machine learning algorithms for classification, regression, forecasting, clustering, graph analytics, and NLP. These examples enable you to tackle advanced data science use cases in Splunk’s main areas of IT Operations, Security, Application Development, IoT, Business Analytics and beyond.