Comments (2)
@ldcastell Can you expand the CL description? Do you have model code in mind? Datasets?
from examples.
@jlewi, The goal is to demonstrate how to use kubeflow tooling (tf-operator and tf-job) to run a distributed object detection training job in an existing K8s cluster. The example will be based on the TensorFlow Pets Tutorial using a dataset from: http://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz and http://www.robots.ox.ac.uk/~vgg/data/pets/data/annotations.tar.gz
from examples.
Related Issues (20)
- Broken Link to deploy instructions
- Examples using deprecated functions
- [help wanted] Use large files from notebook server in KubeFlow Pipeline
- add kubeflow-node-red
- Node-red support for YOLO kubeflow pipeline
- Swarm AI automation via graphical UI-Node-red
- how to run pytorch mnist ddp
- kserve model deployment pipeline integraton with Node-red IOT application scenario
- PSO particle swarm pipeline with Node-red GUI control
- IOT kserve pipeline under Node-red
- Quantum AI pipeline examples
- Bagging pipeline with Node-red front end control
- Stuck at notebook server creation step. HOT 1
- Federated Learning for Hemodialysis data analysis
- GUI for Federated learning pipeline
- New node-red control flow for Kubeflow customization pipeline execution
- Customizable Graphical front end for kubeflow pipeline execution on the quantum neural network
- So many compatibility problems in the examples/minist on vanilla k8s
- [codelab-pipelines-gis-feedback]: HOT 1
- Revamping the examples repository HOT 2
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from examples.