kleveross / Klever Model Registry
Licence: apache-2.0
Cloud Native Machine Learning Model Registry
Stars: β 54
Programming Languages
go
31211 projects - #10 most used programming language
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Klever Model Registry
English | δΈζ
Klever Model Registry is a Cloud Native ML model registry. Use Klever Model Registry in order to:
- Manage your ML models
- Version and deliver your ML models with the existing infrastructures
- Keep track of ML models' hyperparameters and so on to help decision makers
- Convert models between different formats ( e.g. TensorFlow SavedModel, ONNX )
- Serve the model
- Get the standalone executable program to deploy ML model inference services on edge devices/servers ( Coming Soon! )
Klever Model Registry's features:
- Deploy with Docker and Kubernetes
- Keep non-Invasive for your business
- Manage ML models like Docker ( With the help of kleveross/ormb )
- Reuse Harbor to store models, without any new infrastructure
- Support model serving for models managed by MLflow
- Extract models signatures for:
- SavedModel
- ONNX
- GraphDef
- NetDef
- Keras H5
- CaffeModel
- TorchScript
- MXNetParams
- PMML
- Convert models from:
- MXNetParams to ONNX
- Keras H5 to SavedModel
- CaffeModel to NetDef
- NetDef to ONNX
See our official documentations for more informationγ
UI MockUp
Installation
Build the image
Clone:
$ git clone https://github.com/kleveross/klever-model-registry
$ cd klever-model-registry
Get the dependencies:
$ go mod tidy
Build:
$ make docker-build
Install
Please have a look at docs/installation.md.
If you want to trial quickly, you can run installation script as follow.
$ wget https://raw.githubusercontent.com/kleveross/klever-model-registry/master/scripts/installation/install-k8s-1.14.sh
$ bash install-k8s-1.14.sh <master-ip>
or
$ wget https://raw.githubusercontent.com/kleveross/klever-model-registry/master/scripts/installation/install-k8s-1.19.sh
$ bash install-k8s-1.19.sh <master-ip>
Community
klever-model-registry project is part of Klever, a Cloud Native Machine Learning platform.
The Klever slack workspace is klever.slack.com. To join, click this invitation to our Slack workspace.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].