MLup is framework for easy and fast run ML in production
MIT License
This repo was created for an intermediate project in the MLOPS course of Naya College. The goal o...
Deploy mlflow models as JSON APIs with minimal new code
🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them fro...
A holistic CRUD/MVC framework for FastAPI, with endpoint policies and relationships
Expose tensorflow-lite models via a rest API using FastAPI
Opinionated set of utilities on top of FastAPI
TanD - Train and Deploy is a no-code framework to automatize the Machine Learning workflow.
Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Sch...
A minimalist framework for online deployment of sklearn-like models
Deploy a ML inference service on a budget in less than 10 lines of code.
The fastest way to iterate and deploy AI workloads on your own infra. Unobtrusive, debuggable, Py...
FastAPI Microservices Architecture SDK - As Basis for multiple services in a platform/system
This code generator creates FastAPI app from an openapi file.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
An OpenAI-like LLaMA inference API