neural network designer

Accord.NET Machine Learning Framework

Accord net is a net machine learning framework combined with audio and image processing libraries completely written in c ready to be used in commercial applications

Accord.MachineLearning 3.8.0

Contains support vector machines decision trees naive bayesian models k means gaussian mixture models and general algorithms such as ransac cross validation and grid search for machine learning applications this package is part of the accord net framework

DiffSharp: Differentiable Functional Programming (v0.8)

Diff sharp is an automatic differentiation ad library implemented in the f language by at l m g ne baydin and barak a pearlmutter mainly for research applications in machine learning as part of their work at the brain and computation lab hamilton institute national university of ireland mayn

encog-dotnet-core 3.4.0

Encog is an advanced machine learning framework that supports a variety of advanced algorithms as well as support classes to normalize and process data machine learning algorithms such as support vector machines artificial neural networks genetic programming bayesian networks hidden markov mod

GeneticSharp - Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.

Infer.NET

Infer net is a framework for running bayesian inference in graphical models it can be used to solve many different kinds of machine learning problems from standard problems like classification recommendation or clustering through customised solutions to domain specific problems

ML.NET - ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. ML.NET was originally developed in Microsoft Research and evolved into a significant framework over the last decade and is used across many product groups in Microsoft like Windows, Bing, PowerPoint, Excel and more.

Synapses - Neural network library in F#.

Vulpes - Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.

MxNet.Sharp - .NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/