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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Automated Machine Learning on Kubernetes
| Date | Stars |
|---|---|
| 2026-07-24 | 1692 |
| 2026-07-25 | 1692 |
| 2026-07-28 | 1692 |
| 2026-07-30 | 1692 |
| 2026-07-31 | 1694 |
| 2026-08-06 | 1694 |
Today
— stars today
This week
+2 stars this week
This month
— stars this month
Momentum
2.0
growth rate 0.12%/day
# Kubeflow Katib
[](https://github.com/kubeflow/katib/actions/workflows/test-go.yaml?branch=master)
[](https://coveralls.io/github/kubeflow/katib?branch=master)
[](https://goreportcard.com/report/github.com/kubeflow/katib)
[](https://github.com/kubeflow/katib/releases)
[](https://www.kubeflow.org/docs/about/community/#kubeflow-slack-channels)
[](https://www.bestpractices.dev/projects/9941)
[](https://app.fossa.com/projects/git%2Bgithub.com%2Fkubeflow%2Fkatib?ref=badge_shield)
<h1 align="center">
<img src="./docs/images/logo-title.png" alt="logo" width="200">
<br>
</h1>
Kubeflow Katib is a Kubernetes-native project for automated machine learning (AutoML).
Katib supports
[Hyperparameter Tuning](https://en.wikipedia.org/wiki/Hyperparameter_optimization),
[Early Stopping](https://en.wikipedia.org/wiki/Early_stopping) and
[Neural Architecture Search](https://en.wikipedia.org/wiki/Neural_architecture_search).
Katib is the project which is agnostic to machine learning (ML) frameworks.
It can tune hyperparameters of applications written in any language of the
users’ choice and natively supports many ML frameworks, such as
[TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [XGBoost](https://xgboost.readthedocs.io/en/latest/), and others.
Katib can perform training jobs using any Kubernetes
[Custom Resources](https://www.kubeflow.org/docs/components/katib/trial-template/)
with out of the box support for [Kubeflow Training Operator](https://github.com/kubeflow/training-operator),
[Argo Workflows](https://github.com/argoproj/argo-workflows), [Tekton Pipelines](https://github.com/tektoncd/pipeline)
and many more.
Katib stands for `secretary` in Arabic.
## Search Algorithms
Katib supports several search algorithms. Follow the
[Kubeflow documentation](https://www.kubeflow.org/docs/components/katib/user-guides/hp-tuning/configure-algorithm/#hp-tuning-algorithms)
to know more about each algorithm and check the
[this guide](https://www.kubeflow.org/docs/components/katib/user-guides/hp-tuning/configure-algorithm/#use-custom-algorithm-in-katib)
to implement your custom algorithm.
<table>
<tbody>
<tr align="center">
<td>
<b>Hyperparameter Tuning</b>
</td>
<td>
<b>Neural Architecture Search</b>
</td>
<td>
<b>Early Stopping</b>
</td>
</tr>
<tr align="center">
<td>
<a href="https://www.kubeflow.org/docs/components/katib/experiment/#random-search">Random Search</a>
</td>
<td>
<a href="https://www.kubeflow.org/docs/components/katib/experiment/#neural-architecture-search-based-on-enas">ENAS</a>
</td>
<td>
<a href="https://www.kubeflow.org/docs/components/katib/early-stopping/#median-stopping-rule">Median Stop</a>
</td>
</tr>
<tr align="center">
<td>
<a href="https://www.kubeflow.org/docs/components/katib/experiment/#grid-search">Grid Search</a>
</td>
<td>
<a href="https://www.kubeflow.org/docs/components/katib/experiment/#differentiable-architecture-search-darts">DARTS</a>
</td>
<td>
</td>
</tr>
<tr align="center">
<td>
<a href="https://www.kubeflow.org/docs/components/katib/experiment/#bayesian-optimization">Bayesian Optimization</a>
</td>
<td>
</td>
<td>
Excerpt of 8,204 characters
Read on GitHub
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e6e856fd1ab1a68e, topic:pytorch, topic:tensorflow, topic:jax
matched fp:e6e856fd1ab1a68e, topic:mlops, topic:kubeflow