nylon
ML.NET-Auto-ML-ESRB-Rating-Classification
nylon | ML.NET-Auto-ML-ESRB-Rating-Classification | |
---|---|---|
5 | 3 | |
83 | 3 | |
- | - | |
0.0 | 0.0 | |
over 3 years ago | over 2 years ago | |
Python | 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.
nylon
ML.NET-Auto-ML-ESRB-Rating-Classification
-
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.
-
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.
-
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?
Gramformer - A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
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
MLBox - MLBox is a powerful Automated Machine Learning python library.
machinelearning-samples - Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
deep-fast-vision - A Python library for rapid prototyping of deep transfer learning vision models.
NsfwSpy.NET - A .NET image and video classifier used to identify explicit/pornographic content written in C#.
orion - Asynchronous Distributed Hyperparameter Optimization.
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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.
Keras - Deep Learning for humans
pycaret - An open-source, low-code machine learning library in Python