machinelearning
ML framework
A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML.
ML.NET is an open source and cross-platform machine learning framework for .NET.
9k stars
577 watching
2k forks
Language: C#
last commit: almost 2 years agoLinked from 5 awesome lists
algorithmsdotnetmachine-learningml
josephmisiti/awesome-machine-learning
thangchung/awesome-dotnet-core
quozd/awesome-dotnet
jasonhua95/awesome-dotnet-core
ara3d/extra-awesome-dotnetRelated projects:
| Repository | Description | Stars |
|---|---|---|
| dotnet/machinelearning-samples | A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications. | 4,508 |
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| microsoft/0xdeca10b | A framework for hosting and training machine learning models on a blockchain, enabling secure sharing and prediction without requiring users to pay for data or model updates. | 559 |
 gianlucabertani/machinelearning | A machine learning framework for native code on Macs with support for neural networks and natural language processing. | 37 |
 mlpack/mlpack | A C++ machine learning library with bindings to other languages and bindings for multiple programming languages. | 5,151 |
 deepakkumar1984/mxnet.sharp | A .NET Standard library providing C# bindings for the Apache MXNet deep learning framework | 149 |
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| microsoft/synapseml | A library for building scalable machine learning pipelines on distributed computing frameworks like Apache Spark | 5,083 |
 mljs/ml | A collection of machine learning algorithms and tools implemented in JavaScript | 2,632 |
 datatalksclub/mlops-zoomcamp | Teaches practical aspects of productionizing ML services | 11,227 |