Basic MLPlatform includes Model Registry and Inference Server
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Updated
May 20, 2024 - Python
Basic MLPlatform includes Model Registry and Inference Server
Registration of pre-trained models found on Hugging Face using blockchain technology
Hopsworks Machine Learning Api 🚀 Model management with a model registry and model serving
🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
Built an E2E MLFlow Pipeline & hosted on AWS.
Model Registry is the service that exposes API to save, fetch and delete machine learning models
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Go SDK to interact with the Hopsworks API
Advanced Machine Learning Regression: Predicting Car Prices
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
This repo explore the vertex ai component
🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
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.
Experiment tracking and model registry in the images segmentation project
Part of the Hydrosphere.io project.
MLOps for deploying a Credit Risk model
A simple app to help you find relevant machine learning papers to read.
Experiment tracking and model registry in the NLP project
Tabular data experiment tracking with Neptune
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."