This is a small template for working with the FastAPI framework
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Updated
Jun 16, 2023 - Python
This is a small template for working with the FastAPI framework
Example of Leveraging FastAPI for Efficient Web Services
Fastapi app to predict a person's chance of suffering from a heart attack using machine learning and a patient's clinic reports.
Example FastAPI project to connect to various DBs (PostgreSQL, Redis, S3) and CRUD operations for each of them
This project sets up a Dockerized environment for a FastAPI application, PostgreSQL database, and NGINX as a reverse proxy.
Supercharged FastAPI template for production-ready and developer-friendly APIs. Get started now!
This repository contains a Python API project using the FastAPI framework. The API provides endpoints for performing Auth Blog CRUD (Create, Read, Update, Delete) operations.
Microservices using FastApi and Redis
A Fastapi boilerplate setup for postgresql, alembic and docker with user authentication
Online Learning Platform for students to enroll into courses, for admins to create courses and handle the enrollment and to generate card list of courses and it's enrollments.
Repository explaining the deployment of a sample FastAPI application to Google Cloud Platform. It explains the transition from a local application until deployed into Cloud Run using Cloud Build and Artifact Registry. This is merely educational and I do it for fun.
This is FastApi app to generate thumbnail images using celery. You may replace thumbnail generator task with other long running process.
Dockerize and deploy machine learning model as REST API using FastAPI
A repository containing a machine learning algorithm that is trained to identify a meme's genre using the meme itself as input
Example of a FastAPI full-stack application with Docker and poetry
Theis FastAPI and MongoDB. It is a simpler form of that can make developing apps even faster. create a basic category and products application using the FastAPI.
Example of a simple FastAPI and React app using GraphQL
ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset
GitHub Actions Pipeline with a FastAPI Application built, tested and deployed to DockerHub.
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