Neurolab
Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.
Best Neurolab Alternatives & Competitors in 2024
The best Neurolab alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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/keras-alternativesKeras 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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/clarifai-alternativesThe World's AI
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/deeppy-alternativesDeepPy 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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/microsoft-cognitive-toolkit-formerly-cntk-alternativesMachine Learning
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/tflearn-alternativesTFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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/merlin-alternativesMerlin 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-alternativesKnet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
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/swift-brain-alternativesSwift Brain is a neural network / machine learning library written in Swift for AI algorithms.
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/braincore-alternativesBrainCore is a simple but fast neural network framework written in Swift.
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/swift-ai-alternativesArtificial intelligence and machine learning library written in Swift.
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/shark-alternativesSee sharks everywhere with this AR app 🦈
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/darknet-alternatives
Darknet is an open source neural network framework written in C and CUDA.
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/convnetjs-alternativesConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.