Name: Artificial Intelligence Center of Excellence
Type: Organization
Company: Red Hat, Inc.
Bio: This is Artificial Intelligence Center of Excellence's Repository, we are part of the Red Hat's Office of the CTO
Location: Earth (any shape)
Blog: https://next.redhat.com/
Artificial Intelligence Center of Excellence's Projects
OpenShift compatible S2I builder for basic notebook images.
Operator for deploying and managing JupyterHub and Jupyter Notebooks
A python tool handling ingestion from Kafka into s3.
Minimal kubectl UBI-based image.
Machine Learning Toolkit for Kubernetes
AICoE fork of the OpenShift learning portal, powered by Katacoda
Log Anomaly Detection - Machine learning to detect abnormal events logs
A gamification framework for version control and project tracking tools
Thoth Tutorial - manage your dependencies in JupyterLab notebooks.
A tekton pipeline that will build the image from Dockerfile, push the image to quay registry, pull that image and run the cuda code on CPU.
A tekton pipeline that will build the image from Dockerfile, push the image to quay registry, pull that image and run the cuda code on GPU.
Project meteor
MLFlow Tracking Operator for Kubernetes and OpenShift
Tekton Pipelines to run MLPerf benchmarks on OpenShift
Reference implementations of training benchmarks
Script for getting metrics out of pipelinerun
Here is a short example of how to test an operator bundle with the OLM
Kubeflow on OpenShift
An auditing program to detect incompatibilities in Kubernetes manifests brought over to OpenShift
Thoth Tutorial - using overlays for Elyra AI Pipelines steps.
Chris plugin app pl-tensorflowapp
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
A simple application to collect data from a prometheus host and train a model on it
A python wrapper for the prometheus http api
A collection of analysis, analytics, and machine learning techniques for time series forecasting w/ Prometheus metrics