YOLOv5 object detection with C#, ML.NET, ONNX

A Deep Multi-Level Network for Saliency Prediction. ICPR 2016

Demonstrates how to use ML.NET to implement some Machine Learning use cases in UWP.

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

.NET library to easily create Voice Command Control feature.

Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

Natural Language Processing Engine built with ML.NET

This is an simple example of tagging bank transactions with ML.NET

Use the YOLO v3 (ONNX) model for object detection in C# using ML.Net

NER (Named Entity Recognition) implementation using a BERT/DistilBERT-based ONNX model for Token Classification in ML.NET

Personal Assistant Engine built with ML.NET.

Some C# Jupyter Notebooks covering ML.NET scenarios

Machine Learning Intrusion Detection and Network Monitor

Text Classification in C# with ML.NET 2.0

A collection of real-world machine learning web applications built with ML.NET, ASP.NET Core, Azure Cosmos DB, and React, which can be used as a starting point for new projects.

Project used to generate ML.NET AutoML code for machine learning.

ML.NET simple app to deal with recognizing Breast Cancer

Virtual ML.NET 2021 Hackathon Submission

An end-to-end machine learning project to save you from Krampus 👿 An entry to the 2020 F# Advent Calendar 🎄

ML.NET Deep Dive Repository