A collection of awesome ML.NET libraries, tools, frameworks and software

Training Image Classification using ML.NET Deep Learning with Oxford flowers dataset

Intelligent system (as a .NET Forms application) for user profiling and proposing the most suitable cars

Yolo Object Detection Application for RTSP streams

Mental Health Sentiment Analysis API in ML.NET and ASP.NET Core

This repository provides a complete, practical example demonstrating how to build, train, and deploy a Sentiment Analysis machine learning model using ML.NET. The solution is divided into two parts: Console Application: Trains a multi-class sentiment classification model on sample text data (e.g., product reviews, tweets), evaluates its accuracy,

SignalR, ML.NET, .NET CORE, EF CORE, MSSQL

Classify flower images using ML.NET library

The EMS (Employee Management System) Application is a powerful standalone tool built using C# and .NET Framework, designed to help companies manage employee attendance, leave, and overall performance. Developed for Southern Construction & Engineering company.

Iris Recognition

An ML.NET based application trained on the Kaggle Cat Dog Dataset that predicts whether the given image is of a Dog or a Cat.

welcome to our Sales and Guest Projection repository! Discover precise guest predictions via ML.NET, historical data, and advanced tech. This model also applies to sales forecasts, fueled by ML.NET's capabilities. In addition, we've added data visualization.

Building model using ML.NET Model Builder with Oxford 17 flower category dataset

ML.NET Test Project

A login anomaly detector application that uses data relating to the login to find anomalies such as login times using Randomized PCA trainer.

This solution predicts house prices using ML.NET with both manual and auto-generated models based on features like area, age, rooms, district, and price per meter.

gRPC client & server communication using in-memory machine learning inference.

Neural network that recognizes malaria in blood cells by image

ML.Net workshop for Google day at iO