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'. There are nine alternatives to Deeplearning4j for Linux, Mac, Windows, Online / Web-based and Python. The best alternative is TensorFlow, which is both free and Open Source. Other great apps like Deeplearning4j are PyTorch (Free, Open Source), Training Mule (Freemium), mlpack (Free, Open Source) and Darknet (Free, Open Source).

    This page was last updated Aug 4, 2020

    1. 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.
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      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries.
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    2. 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.
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      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      • Online
      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.
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    3. 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.
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      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R.
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      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      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.
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      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      • Python
      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.
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      • FreemiumProprietary
      • Online
      Machine-learning software made by Google.
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    Showing 9 of 9 alternatives