https://github.com/SeldonIO/seldon-server

Machine Learning Platform and Recommendation Engine built on Kubernetes
https://github.com/SeldonIO/seldon-server

aws azure cloud deep-learning deployment docker gcp java kafka kafka-streams kubernetes machine-learning microservices prediction python recommendation-engine recommender-system seldon spark tensorflow

Last synced: about 2 months ago
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Machine Learning Platform and Recommendation Engine built on Kubernetes

• Host: GitHub
• URL: https://github.com/SeldonIO/seldon-server
• Owner: SeldonIO
• License: apache-2.0
• Created: 2015-02-11T13:49:35.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2020-04-12T12:00:18.000Z (almost 5 years ago)
• Last Synced: 2024-11-11T21:51:38.447Z (2 months ago)
• Topics: aws, azure, cloud, deep-learning, deployment, docker, gcp, java, kafka, kafka-streams, kubernetes, machine-learning, microservices, prediction, python, recommendation-engine, recommender-system, seldon, spark, tensorflow
• Language: Java
• Homepage: https://www.seldon.io/
• Size: 3.51 MB
• Stars: 1,472
• Watchers: 135
• Forks: 299
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-list-docker - seldon-server

README

        

# **Update January 2018**

 * [Seldon Core open sourced](https://github.com/SeldonIO/seldon-core). 

    * Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. Please have a look at the [project page](https://github.com/SeldonIO/seldon-core) which includes extensive documentation to investigate further.

# Seldon Server : * * Archived * *

**This project is not actively maintained anymore please see** [Seldon Core](https://github.com/SeldonIO/seldon-core).

Seldon Server is a machine learning platform that helps your data science team deploy models into production.

It provides an open-source data science stack that runs within a [Kubernetes](http://kubernetes.io/) Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. [GCP](http://docs.seldon.io/kubernetes-google-cloud.html), AWS, Azure).

Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and any other model-building tool  — it even supports models built with commercial tools and services where the model is exportable.

It includes an API with two key endpoints:

1.  **[Predict](http://docs.seldon.io/prediction-guide.html)** - Build and deploy supervised machine learning models created in any machine learning library or framework at scale using containers and [microservices](http://docs.seldon.io/api-microservices.html).

2.  **[Recommend](http://docs.seldon.io/content-recommendation-guide.html)** - High-performance user activity and content based recommendation engine with various algorithms ready to run out of the box. 

Other features include:

- Complex dynamic [algorithm configuration and combination](http://docs.seldon.io/advanced-recommender-config.html) with no downtime: run A/B and Multivariate tests, cascade algorithms and create ensembles.

- Command Line Interface ([CLI](http://docs.seldon.io/seldon-cli.html)) for configuring and managing Seldon Server.

- Secure OAuth 2.0 REST and [gRPC](http://docs.seldon.io/grpc.html) APIs to streamline integration with your data and application.

- Grafana dashboard for [real-time analytics](http://docs.seldon.io/analytics.html) built with Kafka Streams, Fluentd and InfluxDB.

Seldon is used by some of the world's most innovative organisations — it's the perfect machine learning deployment platform for start-ups and can scale to meet the demands of large enterprises.

## Get Started

It takes a few minutes to install Seldon on a Kubernetes cluster. Visit our [install guide](http://docs.seldon.io/install.html) and read our [tech docs](http://docs.seldon.io).

## Community & Support

* Join the [Seldon Users Group](https://groups.google.com/forum/#!forum/seldon-users).

* [Register for our newsletter](http://eepurl.com/6X6n1) to be the first to receive updates about our products and events.

* Visit [our website](https://www.seldon.io/), follow [@seldon_io](https://twitter.com/seldon_io) on Twitter and like [our Facebook page](https://www.facebook.com/seldonhq/).

* If you're in London, meet us at [TensorFlow London](https://www.meetup.com/TensorFlow-London/) - a community of over 1200 data scientists that we co-organise.

* We also offer [commercial support plans and managed services](https://www.seldon.io/enterprise/).

## License

Seldon is available under [Apache Licence, Version 2.0](https://github.com/SeldonIO/seldon-server/blob/master/README.md)