MXNet is described as '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' and is an app in the development category. There are more than 10 alternatives to MXNet for a variety of platforms, including Linux, Mac, Windows, Python and Web-based apps. The best MXNet alternative is TensorFlow, which is both free and Open Source. Other great apps like MXNet are tinygrad, PyTorch, TFLearn and Keras.
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.
JS-Torch is a Deep Learning JavaScript library built from scratch, to closely follow PyTorch's syntax.
United States