BentoML is an open platform for machine learning in production. It simplifies model packaging and model management, optimizes model serving workloads to run at production scale, and accelerates the creation, deployment, and monitoring of prediction services.
The gallery repository contains a collection of example projects demonstrating BentoML usage and best practices.
👉 Pop into our Slack community! We're happy to help with any issue you face or even just to meet you and hear what you're working on :)
If you have issues running these projects or have suggestions for improvement, use Github Issues 🐱
If you are interested in contributing new projects to this repo, let's talk 🥰 - Join us on Slack and share your idea in #bentoml-dev channel
Before you create a Pull Request, make sure:
- Follow the basic structures and naming conventions of other existing gallery projects
- Ensure your project runs with the latest version of BentoML
For legacy version prior to 1.0.0, see the 0.13-LTS branch.