Ml Deployment Python Packages

ml-base

Base classes and utilities that are useful for deploying ML models.

anydeploy

CLI tool and library to export ML models to production formats and containerize them with Docker

torchserve-dashboard

Management Dashboard for Torchserve

ml-deploy-lite

ml-deploy-lite is a Python library designed to simplify the deployment of machine learning models. It allows developers to quickly turn their models into REST APIs or gRPC services with minimal configuration. The library integrates seamlessly with Docker and Kubernetes, providing built-in monitoring and logging for performance and error tracking.

modal-for-noobs

Friendly helpers and patterns for getting started with Modal serverless compute.

predicteasy

Auto ML simplified