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