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Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. You can install language-specific models with the model packages Catalyst.Models.[Language], like: Catalyst.Models.English.

v1.0.64863

↙ 1.9M / total

NaturalLanguageProcessingNLPSpacy

pkg

NeuralNetwork.GeneticAlgorithm

Genetic algorithm for evolving neural networks

v2.4.0

↙ 39.8K / total

pkg

NeuralNetworkConstructor

Package Description

v0.2.87

↙ 24.0K / total

neuralnetworkneuronsbackpropagationnetwork

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TorchSharp

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-12.8, libtorch-cuda-12.8-win-x64 or libtorch-cuda-12.8-linux-x64 version 2.10.0.0 to execute.

v0.106.0

↙ 1.1M / total

TorchSharpLibTorchPyTorchTorchDL

AForge.Neuro

The AForge.Neuro library contains classes for artificial neural network computation - feed forwards networks with error back propagation learning and Kohonen self organizing maps. Full list of features is available on the project's web site.

v2.2.5

↙ 260.5K / total

aforge.netframeworkartificialneuralnetworks

SimpleNeuralNetwork

The simplest neural network library written in .NET Standard 2.0

v1.3.2

↙ 11.7K / total

neuralnetworkaisimple

Accord.Neuro

Contains neural learning algorithms such as Levenberg-Marquardt, Parallel Resilient Backpropagation, initialization procedures such as Nguyen-Widrow and other neural network related methods. This package is part of the Accord.NET Framework.

v3.8.0

↙ 291.6K / total

accord.netaforge.netframeworkartificialneural

NeuralNetwork.NET

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN and native memory management

v2.1.3

↙ 22.8K / total

cnnneuralnetworkdeeplearningaicuda

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NeuralNetwork.Structure

Implementation of neural network structure.

v1.0.34

↙ 12.2K / total

neuralnetworkneuronssynapsesAI

Catalyst.Models.English

This package contains the default English models for Catalyst. Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

v1.0.30952

↙ 1.2M / total

EnglishNaturalLanguageProcessingNLP

NeuralNetworkVisualizer

Easy neural network visualizer winform .Net usercontrol

v1.2.0

↙ 14.3K / total

neural-networkdotnetcsharpwinformusercontrol

Neural.NET

Highly extendable neural network framework. Allows you to customly define number of features (inputs), how many hidden layers exist and how many nodes exist on each layer, as well as how many output neurons there are.

v1.0.2

↙ 5.7K / total

neuralnetworkmachinelearningfully

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libtorch-cpu-linux-x64

TorchSharp makes PyTorch available for .NET users. libtorch-cpu-linux-x64 contains components of the PyTorch LibTorch library version 2.10.0 redistributed as a NuGet package with added support for TorchSharp.

v2.10.0

↙ 505.9K / total

TorchSharpLibTorchPyTorchTorchDL

pkg

VI.Neural

Package Description

v2.1.0

↙ 11.9K / total

encog-dotnet-core

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 Models and Genetic Algorithms are supported. Most Encog training algoritms are multi-threaded and scale well to multicore hardware. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train machine learning algorithms. Encog has been in active development since 2008.

v3.4.0

↙ 109.9K / total

encogneuralaimachinelearnings

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