YOLOv5 object detection with C#, ML.NET, ONNX
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Updated
Aug 10, 2023 - C#
YOLOv5 object detection with C#, ML.NET, ONNX
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.
Natural Language Processing Engine built with ML.NET
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.
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
Personal Assistant Engine built with ML.NET.
NER (Named Entity Recognition) implementation using a BERT/DistilBERT-based ONNX model for Token Classification in ML.NET
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
Android Machine Learning Intrusion Detection System written in C#
Machine Learning Recommender System with REST API Built using ML.NET & ASP.NET
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