fashion-mnist-kfp-lab
A notebook showing how to easily convert a current notebook you have to a notebook that can be run on Kubeflow Pipelines. (by anjuls)
pipelines
Machine Learning Pipelines for Kubeflow (by kubeflow)
| fashion-mnist-kfp-lab | pipelines | |
|---|---|---|
| 1 | 2 | |
| 0 | 3,446 | |
| - | 0.6% | |
| 0.0 | 9.8 | |
| about 3 years ago | about 10 hours ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fashion-mnist-kfp-lab
Posts with mentions or reviews of fashion-mnist-kfp-lab.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-23.
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Machine Learning Orchestration on Kubernetes using Kubeflow
Let's try to learn Kubeflow with an example. In this demo, we will try Kubeflow on a local Kind cluster. You should have at least 16GB of RAM, 8 CPUs modern machine to try it on your local machine, otherwise use a VM in cloud. We will use Zalando's fashion MNIST dataset and this notebook by manceps for demo.
pipelines
Posts with mentions or reviews of pipelines.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-31.
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Putting an ML model into production using Feast and Kubeflow on Azure (Part I)
Kubeflow Pipelines comes with a pre-defined KFServing component which can be imported from the GitHub repo and reused across the pipelines without the need to define it every time. KFServing is Kubeflow's solution for "productionizing" your ML models and works with a lot of frameworks like Tensorflow, sci-kit, and PyTorch among others.
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Machine Learning Orchestration on Kubernetes using Kubeflow
You can run the notebook from the dashboard and create the pipeline. Please note, in Kubeflow v1.2, there is an issue causing RBAC: permission denied error while connecting to the pipeline. This will be fixed in v1.3 and you can read more about the issue here. As a workaround, you need to create Istio ServiceRoleBinding and EnvoyFilter to add an identity in the header. Refer this gist for the patch.
What are some alternatives?
When comparing fashion-mnist-kfp-lab and pipelines you can also consider the following projects:
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
kubeflow - Machine Learning Toolkit for Kubernetes
deployKF - deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
kfctl - kfctl is a CLI for deploying and managing Kubeflow
soopervisor - ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
community - Information about the Kubeflow community including proposals and governance information.
bodywork - ML pipeline orchestration and model deployments on Kubernetes.