CatBoost is described as 'open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R'. There are four alternatives to CatBoost for Linux, Mac, Windows, Java and Online / Web-based. The best alternative is TensorFlow, which is both free and Open Source. Other great apps like CatBoost are Training Mule (Freemium), MXNet (Free, Open Source) and Deeplearning4j (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.