Software Alternatives, Accelerators & Startups

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.

Some of the top features or benefits of Neurolab are: Modular Design, Ease of Use, Comprehensive Documentation, Lightweight, and Flexible. You can visit the info page to learn more.

Neurolab

Neurolab Alternatives & Competitors

The best Neurolab alternatives based on verified products, community votes, reviews and other factors.
Filter: 8 Open-Source Alternatives. Latest update:

  1. 14

    Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

    Key Keras features:

    User-Friendly Modularity Pre-trained Models Integration with TensorFlow

    Open Source

    /keras-alternatives
  2. 13

    Machine Learning.

    Key Microsoft Cognitive Toolkit (Formerly CNTK) features:

    Efficiency Scalability Flexibility Seamless Integration

    /microsoft-cognitive-toolkit-formerly-cntk-alternatives
  3. 13

    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.

    Key DeepPy features:

    Ease of Use Python Integration Lightweight

    /deeppy-alternatives
  4. 13

    The World's AI.

    Key Clarifai features:

    API Artificial Intelligence Workflow Management Workflow Automation

    freemium

    /clarifai-alternatives
  5. 12

    Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

    Key Knet features:

    Efficiency Flexibility Julia Integration Community and Support

    /knet-alternatives
  6. 12

    Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

    Key Merlin features:

    Julia Language Integration Composable Machine Learning Models Interoperability Community Support

    /merlin-alternatives
  7. TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

    Key TFlearn features:

    User-Friendly Interface Modular Design Integration with TensorFlow Pre-built Models

    Open Source

    /tflearn-alternatives
  8. 12

    Swift Brain is a neural network / machine learning library written in Swift for AI algorithms.

    Key Swift Brain features:

    Ease of Use Integration with Swift Lightweight Open Source

    /swift-brain-alternatives
  9. 12

    Artificial intelligence and machine learning library written in Swift.

    Key Swift AI features:

    Native Swift Integration Open Source Performance Optimizations Community Support

    /swift-ai-alternatives
  10. 11

    BrainCore is a simple but fast neural network framework written in Swift.

    Open Source

    /braincore-alternatives
  11. 10

    Darknet is an open source neural network framework written in C and CUDA.

    Key Darknet features:

    Open Source Ease of Use Good Performance YOLO Integration

    Open Source

    /darknet-alternatives
  12. MLKit is a simple machine learning framework written in Swift.

    Key MLKit features:

    Feature-Rich Ease of Integration Regular Updates Open-Source

    Open Source

    /mlkit-alternatives
  13. RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation.

    /rustnn-alternatives
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