CUDA vs ScalaNLP: What are the differences?
CUDA: It provides everything you need to develop GPU-accelerated applications. A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation; ScalaNLP: A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries.
CUDA and ScalaNLP belong to "Machine Learning Tools" category of the tech stack.
ScalaNLP is an open source tool with 2.93K GitHub stars and 674 GitHub forks. Here's a link to ScalaNLP's open source repository on GitHub.