RustNN
RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation.
RustNN Alternatives
The best RustNN alternatives based on verified products, community votes, reviews and other factors.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more
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Machine Learning
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DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
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The World's AI
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Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
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Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
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The Write Less, Do More, JavaScript Library.
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Darknet is an open source neural network framework written in C and CUDA.
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ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.
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Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.
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Chainer is a flexible and intuitive framework for Neural Networks.
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BrainCore is a simple but fast neural network framework written in Swift.