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: 7 days ago
Linked 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. | 4,490 |
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 ml5js/ml5-library | Makes machine learning algorithms accessible to web developers | 6,494 |
 gokumohandas/made-with-ml | Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications | 37,603 |
| 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. | 556 |
 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. | 5,113 |
 deepakkumar1984/mxnet.sharp | A .NET Standard library providing C# bindings for the Apache MXNet deep learning framework | 149 |
 tensorflow/tensorflow | An end-to-end platform for building and deploying machine learning applications | 186,382 |
 mlc-ai/mlc-llm | Enables the development, optimization, and deployment of large language models on various platforms using a unified high-performance inference engine. | 19,197 |
 terrytangyuan/distributed-ml-patterns | Provides practical patterns and techniques for building scalable and reliable machine learning systems | 390 |
| microsoft/synapseml | A library for building scalable machine learning pipelines on distributed computing frameworks like Apache Spark | 5,068 |
 mljs/ml | A collection of machine learning algorithms and tools implemented in JavaScript | 2,630 |
 datatalksclub/mlops-zoomcamp | Teaches practical aspects of productionizing ML services | 11,154 |