EATS Powered By AI (Employee Attendance Tracking System Powered By Artificial Intelligence) Information Systems and Technologies department undergraduate graduation project.
-
Updated
Feb 14, 2024 - HTML
EATS Powered By AI (Employee Attendance Tracking System Powered By Artificial Intelligence) Information Systems and Technologies department undergraduate graduation project.
An image classification API powered by ML.NET and ASP.NET Core. Detect and classify popular fast food items from images or URLs.
Explore sentiment analysis within an ABP-based application and delve into machine learning in .NET.
A collection of AI related samples made with different frameworks
A collection of projects that provides with K8s support for DotNetCore projects.
A console ML.NET implementation of `Iris flower`
ASP.NET Backend to work with onnx model created by neighboring project in Python with scikit-learn.
Explore ML.NET with projects for Model Builder Sentiment Analysis, API Sentiment Analysis, and API House Price Prediction. Perfect for beginners and enthusiasts!
Classificador de imagem de animais via ML.NET
Content for AI Hack Day 2022
F# ML.NET Sample Classification Project
UWP frontend / ASP.NET Core Web API backend ML.NET Model Builder Sample
Tool to identify Wikipedia articles that might have a promotional bias using machine learning.
An application to predict if trains of the SNCB will be delayed or not. It uses the open data of the SNCB via the API of irail.be and it retrieves temperature and the weather via API of accuweather
Add a description, image, and links to the mlnet topic page so that developers can more easily learn about it.
To associate your repository with the mlnet topic, visit your repo's landing page and select "manage topics."