基于字符级卷积神经网络的细粒度的中文情感分析以及具体的应用，将顾客打分和评论情感进行两极映射，使用数据自动标注和基于弱监督预训练的数据增强方式自动扩充和优化数据集，实验证实了在情感分类中，使用本文的字符级卷积神经网络(C-CNN-SA)可以在不依赖分词的情况下，达到的精度和 F 值均高于词级粒度。并将模型上线使用，利用tensoflow+flask restful做出的后端服务化，具体的项目细节和讲解看右面的ppt

A chrome extension to give the summary of youtube videos

Heart-Rate-Api to estimate Heart beats per minute using PPG data

Simple Flask Restful CRUD API

This is boilerplate template for a Python Flask application with things you need to get started.

❄️ JFlask: Template for Flask RESTful API and management

Create REST APIs with Flask and Flask-RESTful

Simple books flask API Rest

Dispatch 305 is a website to present a broker service for trucks. This repo contains the backend api developed usign Flask and Flask RESTX as an extension of Flask RESTPlus

API para consulta de situação cadastral do CPF na plataforma serpro.

In this example, we will package a CNN Application using VGG16 model

A simple flask API to play around flask. (built while understanding some basic concepts)

Salary Prediction API using Flask predicts salaries for freshers joining organizations based on factors like past experience, company switches, courses completed, and academic marks. This Flask-based API allows users to input their details and receive a salary prediction. With no user interface, it's designed for integration into other applications

<깔끔한 파이썬 탄탄한 백엔드 지금까지 없었던 백엔드 개발자를 위한 파이썬> 책 보고 따라하기 - Flask

Creating a RESTFul API With Flask - GET, POST, PUT and DELETE

🐞 Tracking made FUN!

Electricity Vending System for SUTD Hostel Aircon

Flask Restful API connected to MYSQL

This beginner-level project introduces Flask API development. It features a simple API endpoint where users can submit two numbers in JSON format and receive their sum. The project serves as a learning tool for understanding Flask API basics, JSON data handling, and API testing with tools like Postman.

Backend workflows for SatVision's real-time satellite image and land cover segmentation renderer. Deploys the novel patchify-process-reconstruct approach to run DL-driven segmentation inference in real-time.