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SOLID-in-CSharp Public
SOLID principles base code used for SOLID Principles workshop
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machinelearning-samples Public
Forked from dotnet/machinelearning-samplesSamples for ML.NET, an open source and cross-platform machine learning framework for .NET.
PowerShell MIT License UpdatedNov 20, 2022 -
AutoMLSample Public
Experiencing with AutoML. Enhance the model accuracy using correlation matrix and permutation feature importance.
C# UpdatedOct 3, 2022 -
Apex.MinimalApi Public
A simple Minimal API structure with an integrated scanner for endpoints
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FluentPrediction Public
Dynamically create data models for machine learning models
Jupyter Notebook UpdatedMar 21, 2021 -
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ChartJs.Blazor Public
Forked from mariusmuntean/ChartJs.BlazorBrings Chart.js charts to Blazor
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hackathon-2020 Public
Forked from virtualmlnet/hackathon-2020Virtual ML.NET Hackathon 2020
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website Public
Forked from dotnet-foundation/websiteThe .NET Foundation's website
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BytesForthAndBack Public
BytesForthAndBack is about getting and posting bytes array between browser and webapi
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console_to_saas Public
Forked from ignatandrei/console_to_saasA book where you can learn how to build a SAAS product incrementally
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SmartFireAlarm Public
Smart fire alarm using ML.NET
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corefxlab Public
Forked from dotnet/corefxlabThis repo is for experimentation and exploring new ideas that may or may not make it into the main corefx repo.
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.NET Interactive Formatting for object like DataFrame, Confusion Matrix, MulticlassClassificationMetrics and more
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MLOps.NET Public
Forked from aslotte/MLOps.NETA machine learning model management tool for ML.NET (MLOps)
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DotNetInteractiveExtension Public
Forked from eerhardt/DotNetInteractiveExtension -
presentations-2020 Public
Forked from virtualmlnet/presentations-2020Presentations from The Virtual ML.NET Community Conference 2020
1 UpdatedJun 1, 2020 -
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Covid-19 Public
Covid-19 ML.NET Time Series with Jupyter notebook
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machinelearning Public
Forked from dotnet/machinelearningML.NET is an open source and cross-platform machine learning framework for .NET.
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Demo for AI + IoT talks (Machine Learning)
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