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FastAPI

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FastAPI is a high performance, easy to learn, fast to code, and ready for production Python 3.7+ framework. Its performance is on par with NodeJS and Go (thanks to Starlette and Pydantic). It's intuitive and standards-based (based on API standards like OpenAPI (previously known as Swagger) and JSON Schema).

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Stack-Lifecycle-Deployment

D10S0VSkY-OSS / Stack-Lifecycle-Deployment

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OpenSource self-service infrastructure solution that defines and manages the complete lifecycle of resources used and provisioned into a cloud! It is a terraform UI with rest api for terraform and OpenTofu automation

python api docker kubernetes infrastructure website ui stack terraform continuous-deployment celery tofu kubectl dokcer terraform-api fastapi terrafrom-ui terraform-web opentofu opentofu-provider
  • Updated Jul 6, 2024
  • CSS
Serving-Machine-Learning-Models

Nneji123 / Serving-Machine-Learning-Models

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This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.

css heroku docker flask machine-learning html5 deployment actions webapp heroku-deployment dvc kivymd mlops mlflow fastapi bentoml streamlit
  • Updated Feb 15, 2023
  • CSS

Created by Sebastián Ramírez

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tiangolo/fastapi