Web application for predicting the number of available bike stands at one of the MBajk bike stations.
-
Updated
Jun 1, 2024 - Jupyter Notebook
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).
Web application for predicting the number of available bike stands at one of the MBajk bike stations.
Some experiments with FastAPI + PyJWT + SQLAlchemy + Docker
Backend of stocknear - Stock Analysis & Community Platform for Small Investors ❤️
FastAPI template with JWT Authentication
A lightweight framework for service decoupling and peak shaving in web services, leveraging RabbitMQ.
Кейс "Доступ на территорию" | Хакатон Ujin Forum Зданий
⛑️ 스마트 안전 헬멧 IoT [진행중]
HTTP API for FGO game data. Transform the raw game data into something a bit more manageable.
A collection of solutions that leverage Azure AI services.
scrapes all vacancies from aze-website
The service allows the user to create requests(contributions) to add and edit content on amdb, earn achievements for this and request to send statistics on own contributions.
The project designed to gather data from various project-related websites and automatically share that information on popular social media platforms.
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本,跟踪与可视化你的机器学习全流程
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
An overview of the possibilities offered by artificial intelligence (AI) to serve as a technical basis for a digital product offering: from understanding, personalization, design of machine learning models and its deployment through an API built with FastAPI into the Cloud
Created by Sebastián Ramírez
Latest release 29 days ago