mlops topic

Kubeflow Pipelines on Tekton

kubeflow

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

operatorai

UnionML: the easiest way to build and deploy machine learning microservices

unionai-oss

Learn how to design, develop, deploy and iterate on production-grade ML applications.

GokuMohandas

Building a fake news detector from initial ideation to model deployment

mihail911

Hopsworks - Data-Intensive AI platform with a Feature Store

logicalclocks

Profile and monitor your ML data pipeline end-to-end

whylabs

An open-source ML pipeline development platform

sematic-ai

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

GoogleCloudPlatform

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

mosecorg