List of model registry resources and tools
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Updated
Mar 3, 2022
List of model registry resources and tools
An end to end ML project. Using MLflow for experiment tracking and model registry. Prefect for workflow orchestration. S3 for artifacts storage. AWS Lambda/ ECR for serverless model serving. AWS REST API gateway as endpoint to lambda function. GitHub Actions for CI/CD.
Custom versioning of Machine Learning models
Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
Tabular data experiment tracking with Neptune
Experiment tracking and model registry in the NLP project
A simple app to help you find relevant machine learning papers to read.
MLOps for deploying a Credit Risk model
Part of the Hydrosphere.io project.
Experiment tracking and model registry in the images segmentation project
Example repo that showcase monorepo scenario. `cv` folder has an image segmentation model, and `nlp` folder has a text classification model. Load this repo as project in https://studio.iterative.ai to see models registered within a model registry.
๐ถ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day๐ค
This repo explore the vertex ai component
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management ๐
Advanced Machine Learning Regression: Predicting Car Prices
Go SDK to interact with the Hopsworks API
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Model Registry is the service that exposes API to save, fetch and delete machine learning models
Built an E2E MLFlow Pipeline & hosted on AWS.
Add a description, image, and links to the model-registry topic page so that developers can more easily learn about it.
To associate your repository with the model-registry topic, visit your repo's landing page and select "manage topics."