kubeflow/katib
Automated Machine Learning on Kubernetes
This project helps machine learning engineers and data scientists automatically find the best settings for their models and neural networks. You provide your machine learning code and criteria for success, and it intelligently searches for optimal hyperparameters and network architectures, delivering a more accurate and efficient model. It's designed for those building and deploying ML models in a cloud-native environment.
1,666 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you need to efficiently optimize machine learning models by automating hyperparameter tuning, early stopping, and neural architecture search within a Kubernetes environment.
Not ideal if you are not using Kubernetes for your machine learning workloads or if you need a lightweight, local-only optimization tool.
Stars
1,666
Forks
515
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
1
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