https://github.com/caraml-dev/merlin

Kubernetes-friendly ML model management, deployment, and serving.
https://github.com/caraml-dev/merlin

machine-learning mlops

Last synced: about 2 months ago
JSON representation

Kubernetes-friendly ML model management, deployment, and serving.

• Host: GitHub
• URL: https://github.com/caraml-dev/merlin
• Owner: caraml-dev
• License: apache-2.0
• Created: 2020-09-28T08:08:59.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-05-22T07:29:45.000Z (8 months ago)
• Last Synced: 2024-05-23T07:39:00.674Z (8 months ago)
• Topics: machine-learning, mlops
• Language: Go
• Homepage:
• Size: 16.9 MB
• Stars: 154
• Watchers: 13
• Forks: 40
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

• awesome-mlops - Merlin - A platform for deploying and serving machine learning models. (Model Serving)

README

        


## Overview

Merlin is a platform for deploying and serving machine learning models. The project was born of the belief that model deployment should be:

* **Easy and self-serve**: Human should not become the bottleneck for deploying model into production.

* **Scalable**: The model deployed should be able to handle Gojek scale and beyond.

* **Fast**: The framework should be able to let user iterate quickly.

* **Cost efficient**: It should provide all benefit above in a cost efficient manner.

Merlin attempts to do so by:

* **Abstracting infrastructure**: Merlin uses familiar concept such as Project, Model, Version, and Endpoint as its core component and abstract away complexity of deploying and serving ML service from user.

* **Autoscaling**: Merlin is built on top Knative and KFServing to provide a production ready serverless solution.

## Getting Started

To install Merlin in your local machine, click [Local Development](./docs/dev-guide/deploying-merlin/local_development.md).

## Documentation

Go to the [docs](/docs) folder for the full documentation and guides.

### Python SDK Documentation

Click [here](https://merlin-sdk.readthedocs.io) to getting started on using the Python SDK.

### API Documentation

To explore the API documentation, run:

```bash

make swagger-ui

```

## Client Libraries

We use [Swagger Codegen](https://github.com/swagger-api/swagger-codegen) to automatically generate Golang and Python clients for Merlin API. To genarate the client libraries, run:

```bash

make generate-client

```

## Notice

Merlin is a community project and is still under active development. Your feedback and contributions are important to us. Please have a look at our [contributing guide](CONTRIBUTING.md) for details.