eora-ai/inferoxy

Service for quick deploying and using dockerized Computer Vision models

31
/ 100
Emerging

This service helps machine learning engineers and MLOps specialists simplify the deployment and scaling of computer vision models. You feed it your pre-trained computer vision models packaged as Docker images, and it provides an accessible endpoint (like a REST API) for applications to send images and receive inference results. It's designed for teams looking to efficiently run many computer vision models on shared infrastructure.

No commits in the last 6 months.

Use this if you are a machine learning engineer responsible for taking computer vision models from development into a production environment where they need to handle real-time image processing requests.

Not ideal if you are looking for a tool to train or develop computer vision models, or if you only need to run a single model on an infrequent basis without concerns for high-volume inference.

MLOps Computer Vision Model Deployment Production AI Deep Learning Inference
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

95

Forks

3

Language

Python

License

GPL-3.0

Last pushed

Jul 15, 2021

Commits (30d)

0

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