NsfwSpy.NET
ML.NET-Auto-ML-ESRB-Rating-Classification
| NsfwSpy.NET | ML.NET-Auto-ML-ESRB-Rating-Classification | |
|---|---|---|
| 1 | 3 | |
| 293 | 3 | |
| 3.4% | - | |
| 4.9 | 0.0 | |
| 4 months ago | about 2 years ago | |
| C# | C# | |
| MIT License | - |
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.
NsfwSpy.NET
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C# and ML . NET seems a little too good to be true - what's the catch?
Here is the link for those interested to poke around themselves: https://github.com/NsfwSpy/NsfwSpy.NET
ML.NET-Auto-ML-ESRB-Rating-Classification
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The 3 Core Machine Learning Tasks
This trained model would then be able to predict ESRB ratings for video games that had yet to be released and generate some degree of probability that a game might be in any given rating.
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What can you do in ML.NET with C#?
For more code examples around multi-class classification, take a look at my article and video on using AutoML and ML.NET to predict ESRB ratings for video games which also serves as an in-depth introduction to ML.NET for a single task.
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Using C# and Auto ML in ML .NET to Predict Video Game Ratings
This article comes with an accompanying GitHub repository containing a .NET 6 console app that can train itself to evaluate video games and predict an ESRB rating for games the trained model hasn't seen before.
What are some alternatives?
.NET Runtime - .NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.
machinelearning-samples - Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
nsfw_data_scraper - Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
pycaret - An open-source, low-code machine learning library in Python
SciSharp-Stack-Examples - Practical examples written in SciSharp's machine learning libraries
SentimentAnalyzer - This repo contains the source code of SentimentAnalyzer. It's an on-device (offline) open-source library to find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. Powered by ML.NET
FastReport - Free Open Source Reporting tool for .NET6/.NET Core/.NET Framework that helps your application generate document-like reports
MLBox - MLBox is a powerful Automated Machine Learning python library.
nylon - An intelligent, flexible grammar of machine learning.
Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment - This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.