.NET-Analyzers VS machinelearning-samples

Compare .NET-Analyzers vs machinelearning-samples and see what are their differences.

.NET-Analyzers

.NET code analyzers and code convention settings for Lombiq projects. (by Lombiq)

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET. (by dotnet)
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.NET-Analyzers machinelearning-samples
1 4
9 4,365
- 1.3%
8.7 4.9
11 days ago 12 days ago
PowerShell PowerShell
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

.NET-Analyzers

Posts with mentions or reviews of .NET-Analyzers. We have used some of these posts to build our list of alternatives and similar projects.

machinelearning-samples

Posts with mentions or reviews of machinelearning-samples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.
  • Is data analysis dying?
    1 project | /r/cscareerquestionsEU | 13 Nov 2022
    I kinda have to agree, just take a look at where Microsoft ML.NET is headed: https://github.com/dotnet/machinelearning-samples
  • YoloV5 output format
    1 project | /r/computervision | 26 Jul 2022
    I used Netron to inspect the onnx file and the output is named "output" and the type if float32[1,25200,6]. I was using a tutorial I found here but it's based on Tiny YoloV2 which is says has an output of "None x 125 x 13 x 13" so I don't know if I can apply the same logic here. In case it matters, my model only has a single label/class.
  • What can you do in ML.NET with C#?
    2 projects | dev.to | 21 Apr 2022
    In the meantime, I recommend looking into Microsoft's documentation on ML.NET for additional details or checking out their ML.NET samples on GitHub
  • ML/Image Classification/Face recognition on M1 Mac?
    3 projects | /r/dotnet | 19 Jun 2021

What are some alternatives?

When comparing .NET-Analyzers and machinelearning-samples you can also consider the following projects:

awesome-datadog - 😎 Awesome Datadog monitors, dashboards, and troubleshooting guides crowdsourced with years of experience running services at scale

FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux

blazor-ml - Example combining Blazor with ML.NET

ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML

ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.

OpenAI-API-dotnet - An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API

OpenAI.Net - OpenAI library for .NET