seldon-core
by SeldonIO
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
AI summary
MLOps framework
An MLOps framework for packaging, deploying, and managing machine learning models on Kubernetes at scale
- stars
- 4.4K
- forks
- 833
- watching
- 86
- awesome lists
- 6
Similar projects
Found by comparing what the projects do, not just their names.
ML deployment platform
A platform for deploying machine learning models into production on-premise or in the cloud using Kubernetes and various machine learning frameworks.
ML deployment platform
Platform to deploy machine learning models on Kubernetes at scale
Inference server
An inference server for machine learning models with support for multiple frameworks and scalable deployment options.
ML pipeline manager
An MLOps Python library that enables data scientists to deploy and orchestrate machine learning pipelines for production-ready inference.
ML platform
A production-ready infrastructure for deploying and managing machine learning models at scale
ML pipeline builder
An open-source platform for building and managing machine learning pipelines with Python
ML model server
A high-performance serving system for machine learning models in production environments.
ML workflow builder
A tool for building and managing machine learning workflows on Kubernetes.
Model lifecycle manager
A platform for managing machine learning projects from inception to deployment
ML framework
A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML.
ML development guide
Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications
combust/mleap1.5K
ML pipeline deployer
Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production
Segmentation model
A TensorFlow-based implementation of the SegNet segmentation algorithm, with modifications to address index unravel issues and support multiple features such as dilation and multi-resolution learning.
ML models
Implementations of classical machine learning models using TensorFlow 2 and Keras API.
ML platform builder
Builds machine learning platforms on Kubernetes by combining popular tools and services
Featured in 6 awesome lists
Each link jumps to the spot where the list mentions seldon-core.
