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Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is a project that 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, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out-of-the-box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines, and many more.
Features
- You can run your first HyperParameter Tuning Experiment using Katib Python SDK
- Documentation available
- Examples available
- Katib can perform training jobs using any Kubernetes Custom Resources
- 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
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow Katib
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