Custom versioning of Machine Learning models
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Updated
Oct 1, 2022 - Python
Custom versioning of Machine Learning models
Logo Recognition App MLOps
Model Registry is the service that exposes API to save, fetch and delete machine learning models
This repo explore the vertex ai component
Advanced Machine Learning Regression: Predicting Car Prices
Tabular data experiment tracking with Neptune
List of model registry resources and tools
Registration of pre-trained models found on Hugging Face using blockchain technology
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.
Go SDK to interact with the Hopsworks API
Built an E2E MLFlow Pipeline & hosted on AWS.
Experiment tracking and model registry in the NLP project
Basic MLPlatform includes Model Registry and Inference Server
Experiment tracking and model registry in the images segmentation project
Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
Part of the Hydrosphere.io project.
Hopsworks Machine Learning Api 🚀 Model management with a model registry and model serving
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.
A simple app to help you find relevant machine learning papers to read.
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."