100 packages returned for Tags:"networks"

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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.
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... More information
Parallel Neural Network Classes for .NET. Backpropagation class for easy training and testing. Code Project link: http://www.codeproject.com/Articles/1016734/Parallel-Artificial-Neural-Networks-in-NET-Frame GitHub link: https://github.com/hemanthk119/NeuralNetworks/
Hype is a proof-of-concept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization. This is enabled by nested automatic differentiation (AD) giving you access to the... More information
Simple Library to expose network connections (TCP/UDP) per process, can be searchable by process id or process name. in first use the library must be initialize, the tables can be overwrited later.
A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement... More information
The package helps to share any Umbraco document type in Linkedin, Twitter, and Facebook via one click. For now, you will never forget to share your blog post, news item or any other content on social networks. Please, carefully read quickstart tutorial to begin.