Comments (6)
Jeffwan
commented on May 27, 2024
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goswamig
commented on May 27, 2024
+1 to idea. I am glad you are thinking this way.
Training part I've done using kubeflow. I am currently working on inference part.
Definitely we should translate all example using kubeflow.
from machine-learning-using-k8s.
arun-gupta
commented on May 27, 2024
+1 on making sure all examples work the kubeflow way.
// @aronchick would like it
from machine-learning-using-k8s.
Jeffwan
commented on May 27, 2024
Thanks for the feedbacks. Will do soon. Long term goal is to add more AWS examples in upstream kubeflow community.
from machine-learning-using-k8s.
Jeffwan
commented on May 27, 2024
Working in progress and will send out PR by next week.
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Jeffwan
commented on May 27, 2024
PR is merged and I can close this Issue
from machine-learning-using-k8s.
Related Issues (20)
- Add text-based simple model for tensorflow
- More explanation for Jupyterhub
- Tensorflow and Keras output needs to be explained HOT 1
- MXNet results need to be explained HOT 1
- Move to aws-labs and rename repo HOT 1
- Serverless inference HOT 1
- MXNet distributed training
- Show inference using MXNet HOT 2
- Setup TensorBoard with logs HOT 1
- TensorFlow training for MNIST is failing HOT 1
- Show TensorFlow inference using image
- Export training model for MNIST training using MXNet HOT 1
- Update model version number for TensorFlow + Keras training
- Trim the number of logging instructions HOT 1
- Deployment of entire stack using CDK
- Training using K8s and Inference using Sagemaker HOT 2
- Change to native kubeflow on aws
- Convert MXNet inference to run on Amazon EKS
- Disconnect between MXNet training and inference
- Add training and inference using PyTorch and Keras
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