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ScalaNLP vs Chainer: What are the differences?
What is ScalaNLP? A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries.
What is Chainer? A Powerful, Flexible, and Intuitive Framework for Neural Networks. It is an open source deep learning framework written purely in Python on top of Numpy and CuPy Python libraries aiming at flexibility. It supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
ScalaNLP and Chainer can be primarily classified as "Machine Learning" tools.
Some of the features offered by ScalaNLP are:
- ScalaNLP is the umbrella project for several libraries:
- Breeze is a set of libraries for machine learning and numerical computing
- Epic is a high-performance statistical parser and structured prediction library
On the other hand, Chainer provides the following key features:
- Supports CUDA computation
- Runs on multiple GPUs
- Supports various network architectures
ScalaNLP and Chainer are both open source tools. It seems that Chainer with 4.98K GitHub stars and 1.32K forks on GitHub has more adoption than ScalaNLP with 2.94K GitHub stars and 676 GitHub forks.
