https://github.com/kleveross/klever
Cloud Native ML/DL Platform
https://github.com/kleveross/klever
ai-infra cloud-native deep-learning kubeflow kubernetes machine-learning model-management
Last synced: 7 months ago
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Cloud Native ML/DL Platform
- Host: GitHub
- URL: https://github.com/kleveross/klever
- Owner: kleveross
- License: apache-2.0
- Created: 2020-07-19T01:34:09.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-09-09T07:04:06.000Z (about 5 years ago)
- Last Synced: 2025-03-28T17:57:26.939Z (7 months ago)
- Topics: ai-infra, cloud-native, deep-learning, kubeflow, kubernetes, machine-learning, model-management
- Homepage:
- Size: 85.9 KB
- Stars: 133
- Watchers: 14
- Forks: 20
- Open Issues: 3
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
Klever is a cloud native platform for machine learning workloads. It help users to train, distribute, manage and serve their machine learning models. Klever is built on top of many state-of-art open source projects like [Kubeflow][], [Harbor][] and so on. Its current components are:
- [ormb][]: A CLI and a library to help users manage machine learning models like Docker images.
- [Model registry][]: A centralized registry, set of APIs and UI ( Will be added soon ) for machine learning models, based on [Harbor][] and [ormb][].
- Serving platform: A platform to deploy models in the model registry with the help of [Seldon Core][].
Components to be added:
- **Training platform**.
## Architecture
## Roadmap
Please have a look at [Roadmap](./docs/roadmap.md).
[Kubeflow]: https://github.com/kubeflow/kubeflow
[Harbor]: https://github.com/goharbor/harbor
[ormb]: https://github.com/kleveross/ormb
[Model registry]: https://github.com/kleveross/klever-model-registry
[Seldon Core]: https://github.com/SeldonIO/seldon-core