Deeplearning4j
Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.
Some of the top features or benefits of Deeplearning4j are: Java Integration, Scalability, Commercial Support, Compatibility with Hardware, and Ecosystem. You can visit the info page to learn more.
Best Deeplearning4j Alternatives & Competitors in 2025
The best Deeplearning4j alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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/tensorflow-alternativesTensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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/pytorch-alternativesOpen source deep learning platform that provides a seamless path from research prototyping to...
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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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/tflearn-alternativesTFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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/scikit-learn-alternativesscikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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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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/darknet-alternatives
Darknet is an open source neural network framework written in C and CUDA.
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/pycaret-alternativesopen source, low-code machine learning library in Python
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/clarifai-alternativesThe World's AI
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/microsoft-cognitive-toolkit-formerly-cntk-alternativesMachine Learning
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/mlpack-alternativesmlpack is a scalable machine learning library, written in C++.
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/mxnet-alternativesMXNet is a deep learning framework.
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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.
