Python fastapi/full-stack-fastapi-template Star33.2k Code Issues Pull requests Discussions Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automa
This repository contains the files to build your very own AI image generation web application! Outlined are the core components of the FastAPI web framework, and application leverage the newly-released Stable Diffusion text-to-image deep learning model.
Building a Machine Learning Microservice with FastAPI https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/ https://developer.nvidia.com/zh-cn/blog/how-to-build-an-instant-machine-learning-web-application-with-streamlit-and-fastapi/ https://github.com/kurtispykes/...
掌握Python基础知识:深入了解Python基础知识,涵盖变量、数据类型、控制流、函数等主题,同时利用Google Colab等平台进行实践练习。使用面向对象编程构建火箭:在构建模拟火箭时探索面向对象编程(OOP)的原理,学习完善其功能,并将您的进度上传到GitHub进行协作。探索基本Python包:发现NumPy和Matplotlib等关键Python库,利用它们的能...
Machine learning model serving in Python using FastAPI and streamlit https://davidefiocco.github.io/streamlit-fastapi-ml-serving/ 背景描述 ML工程师需要面向做出快速原型, 以分析模型和数据的性能。 原型需要有 前端-- 仅仅提供原型展示, 生产级别的界面需要专业前端人员开发。
Explore the principles of Object-Oriented Programming (OOP) as you construct a simulated rocket, learning to refine its functionalities and upload your progress to GitHub for collaboration.Explore Essential Python Packages: Discover key Python libraries like NumPy and Matplotlib, harnessing their power to...
You can try the application featured in this tutorial using the code in thekurtispykes/car-evaluation-projectGitHub repository. Overview of Streamlit and FastAPI Streamlit, an open-source app framework, aims to simplify the process of building web applications for machine learning and ...
对于这篇文章,捆绑 ML 模型。要遵循代码,请参见kurtispykes/car-evaluation-projectgithub 回购。 图1 显示了该模型的目录结构。 图1.模型的目录结构 包模块包括以下内容: config.yml: YAML 文件以定义常量变量。 pipeline.py:执行所有特征转换和建模的管道。
model ├── requirements.in # Used to generate requirements.txt ├── requirements.txt # Install dependencies: pip install -r requirements.txt ├── segmentation.py # Importing the local YOLOv5 and resize images └── yolov5 # You can obtain this from https://github.com/ultralytics/...
本项目的源代码、配置文件、模型和数据集可以在kingabzpro/Redis-ml-project GitHub代码库中找到。如果你在运行上述代码时遇到任何问题,可随时参阅。 Redis缓存在机器学习应用中的工作原理 下面逐步解释Redis缓存在我们的机器学习应用程序中的运作方式,并附加一张流程图加以说明: ...