A series of DTOs representing the Model Builder Configuration object from ML.NET

A lightweight ML.NET regression model predicting fishing outcomes based on environmental features. Includes sample CSV training data, model pipeline, evaluation metrics, and prediction examples.

A .NET library that provides access to the library that powers PyTorch.

Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc.

本地 ONNX 嵌入与向量检索的轻量教学示例，适合快速原型与学习。a lightweight local RAG demo (ONNX embeddings + simple vector search) for quick prototyping and learning.

Center management app built with Flutter and ASP.NET Core for the Software Development II course at the Faculty of Information Technologies. Includes mobile and desktop versions for clients, employees, and administrators, supporting scheduling, payments, and notifications.

Daany - .NET DAta ANalYtics .NET library with the implementation of DataFrame, Time series decompositions and Linear Algebra routines BLASS and LAPACK.

Servo is a experimental re-imagining of SimAntics using ML.NET with Jupyter Notebooks.

100% C# - Classificador (ML.NET) > Gerador Markov > TF-IDF (keywords) > Fallback Gemini > Persistência EF Core + SQLite

Patient discharge predictor using ML.Net

Machine Learning training job using historical baseball data & ML.NET to build a complete set of classifiers.

This project is an introduction to machine learning development using C# and ML.NET. It demonstrates how to use ML.NET for sentiment analysis.

AI-powered backend to rank resumes by job relevance using ML.NET and ASP.NET Core.

Auto generated stubs for Systemathics Ganymede gRPC APIs (dotnet)

This repository is mainly used for the R&D of the Azure AI, .NET & Power Platform

A .NET 8-based Fake News Detection system using ML.NET for training and ASP.NET Core Web API for real-time predictions. Input article text and get accurate classification (real or fake).

This project predicts whether a customer is likely to churn using machine learning in .NET. It includes: - A model training console application using **ML.NET** - An ASP.NET Core 8 Web API for serving predictions

A simple image classification project for recognizing different types of fruits using ML.NET. The model is trained with a dataset of labeled fruit images and uses a pre-trained deep learning model for transfer learning

In this project, we made an e-commerce site with using MVC (model-view-controller) constructor. We used ASP.NET, ML.NET, Microsoft Azure, HTML, CSS and Javascript.

AI-Football-Predictions is an ML-based web application that predicts football match results using artificial intelligence. It provides real-time statistics for ongoing matches, supports multiple leagues and teams, and allows users to track predictions based on historical data.