Deeplearning4j Alternatives

Deeplearning4j is described as 'Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs' and is an app in the development category. There are more than 10 alternatives to Deeplearning4j for a variety of platforms, including Linux, Mac, Windows, Python and Web-based apps. The best Deeplearning4j alternative is tinygrad, which is both free and Open Source. Other great apps like Deeplearning4j are TensorFlow, PyTorch, TFLearn and Keras.

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Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and...

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Deeplearning4j alternatives page was last updated Jun 9, 2024
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  1. tinygrad icon
     5 likes
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    This may not be the best deep learning framework, but it is a deep learning framework.

    License model

    • FreeOpen Source

    Application type

    Country of Origin

    • US flagUnited States

    Platforms

    • Mac
    • Windows
    • Linux
    • BSD
    • Python

    tinygrad Features

    1.  Python-based

    tinygrad VS Deeplearning4j

     
    • tinygrad is the most popular Windows, Mac & Linux alternative to Deeplearning4j.

    • tinygrad is the most popular Open Source & free alternative to Deeplearning4j.

    • tinygrad is Free and Open SourceDeeplearning4j is also Free and Open Source
  2. TensorFlow icon
     23 likes
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    TensorFlow is an open source software library for machine learning in various kinds of perceptual and language understanding tasks. It was originally developed by the Google and later released under the Apache 2.0 open source license on Nov 9, 2015.

    License model

    • FreeOpen Source

    Country of Origin

    • US flagUnited States

    Platforms

    • Mac
    • Linux

    TensorFlow VS Deeplearning4j

     
  3. PyTorch icon
     9 likes
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    PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries.

    11 PyTorch alternatives

    License model

    • FreeOpen Source

    Application type

    Platforms

    • Mac
    • Windows
    • Linux

    PyTorch VS Deeplearning4j

     
  4. TFLearn icon
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    TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.

    License model

    • FreeOpen Source

    Platforms

    • Linux
    • Mac
    • TensorFlow
    • Python

    TFLearn Features

    1.  Data science
    2.  Neural network

    TFLearn VS Deeplearning4j

     
  5. Keras icon
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    Keras is a deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch.

    License model

    • FreeOpen Source

    Country of Origin

    • US flagUnited States

    Platforms

    • Self-Hosted
    • Linux
    • Mac

    Keras Features

    1.  Data science
    2.  Neural network

    Keras VS Deeplearning4j

     
    • Keras is the most popular Self-Hosted alternative to Deeplearning4j.

    • Keras is Free and Open SourceDeeplearning4j is also Free and Open Source
  6.  1 like
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    A tiny Autograd engine (with a bite! :)). Implements backpropagation (reverse-mode autodiff) over a dynamically built DAG and a small neural networks library on top of it with a PyTorch-like API. Both are tiny, with about 100 and 50 lines of code respectively.

    License model

    • FreeOpen Source

    Application type

    Platforms

    • BSD
    • Linux
    • Mac
    • Windows
    • Python

    micrograd Features

    1.  Neural network
    2.  Python-based

    micrograd VS Deeplearning4j

     
  7. PyCaret icon
     1 like
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    PyCaret is an open source low-code machine learning library in Python that aims to reduce the hypothesis to insights cycle time in a ML experiment. It enables data scientists to perform end-to-end experiments quickly and efficiently.

    License model

    • FreeOpen Source

    Platforms

    • Mac
    • Windows
    • Linux
    • Python

    PyCaret VS Deeplearning4j

     
  8. mlpack icon
     2 likes
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    mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features.

    License model

    • FreeOpen Source

    Platforms

    • Mac
    • Windows
    • Linux
    • Online

    mlpack VS Deeplearning4j

     
    • mlpack is the most popular Web-based alternative to Deeplearning4j.

    • mlpack is Free and Open SourceDeeplearning4j is also Free and Open Source
  9. Copy a direct link to this comment to your clipboard

    Training Mule allows you or your team to easily label images, providing you with the datasets that you require for the best results. With your images labelled, we will train the network of your choice and provide you with the model ready for use.

    License model

    • FreemiumProprietary

    Country of Origin

    • GB flagUnited Kingdom

    Platforms

    • Online

    Training Mule Features

    1.  Image recognition

    Training Mule VS Deeplearning4j

     
  10. Darknet icon
     1 like
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    Darknet: Open Source Neural Networks in C Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.

    License model

    • FreeOpen Source

    Platforms

    • Linux

    Darknet Features

    1.  Image recognition

    Darknet VS Deeplearning4j

     
  11. CatBoost icon
     1 like
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    CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R.

    License model

    • FreeOpen Source

    Country of Origin

    • RU flagRussia

    Platforms

    • Mac
    • Windows
    • Linux

    CatBoost VS Deeplearning4j

     
  12. MXNet icon
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    MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both...

    License model

    • FreeOpen Source

    Country of Origin

    • US flagUnited States

    Platforms

    • Mac
    • Windows
    • Linux

    MXNet VS Deeplearning4j

     
12 of 14 Deeplearning4j alternatives