Katib Ui
- Kubeflow Charmers
- Ai Ml
Channel | Revision | Published | Runs on |
---|---|---|---|
latest/stable | 38 | 20 Jan 2022 | |
latest/beta | 657 | 09 Jul 2024 | |
latest/edge | 778 | 26 Sep 2024 | |
0.17/stable | 713 | 31 Jul 2024 | |
0.17/edge | 780 | 11 Oct 2024 | |
0.16/stable | 671 | 30 Jul 2024 | |
0.16/edge | 729 | 16 Aug 2024 | |
0.15/stable | 267 | 19 Jun 2023 | |
0.15/beta | 194 | 28 Mar 2023 | |
0.15/edge | 446 | 12 Dec 2023 | |
0.14/stable | 151 | 16 Feb 2023 | |
0.14/beta | 151 | 16 Feb 2023 | |
0.14/edge | 151 | 15 Feb 2023 | |
0.12/stable | 41 | 01 Jul 2022 | |
0.12/edge | 41 | 29 Jun 2022 |
juju deploy katib-ui
Deploy Kubernetes operators easily with Juju, the Universal Operator Lifecycle Manager. Need a Kubernetes cluster? Install MicroK8s to create a full CNCF-certified Kubernetes system in under 60 seconds.
Platform:
A Kubernetes-native project for automated machine learning (AutoML)
Katib supports Hyperparameter Tuning, Early Stopping and 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, MXNet, PyTorch, XGBoost, and others.