AI/ML: Persistent workspaces for multiple users
The first challenge for an AI/ML practitioner is gathering the necessary data to feed the process. The solution? Advanced planning algorithms that organize data better than humans in far less time.
AI/ML resources
Use OpenVINO to convert speech to text
OpenVINO helps you tackle speech-to-text conversion, a common AI use case. Learn more.
Open source edge detection with OpenCV and Pachyderm
You can perform edge detection on images using this Jupyter notebook on any Kubernetes cluster. Learn how.
How to install an open source tool for creating machine learning pipelines
Create an open source machine learning environment quickly with Pachyderm, JupyterHub, and Ceph Nano on Open Data Hub.
Configure CodeReady Containers for AI/ML development
CodeReady Containers lets you easily deploy a virtual cluster environment on your local system, with open source AI tools from Open Data Hub.
Learn how to build, train, and run a PyTorch model
Once you have data, how do you start building a PyTorch model? This learning path shows you how to create a PyTorch model with OpenShift Data Science.
Create a data stream with Amazon Kinesis
Streaming data is key to many modern applications. This tutorial walks you through setting up a data stream using Amazon Kinesis and Node.js.
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July 18, 2019