Download
LAML is a stand-alone pure Java library for linear algebra and machine learning. The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus can also be used to manually convert MATLAB code to Java code.
Features
- Stand-alone Java library, completely cross-platform
- Built-in Linear Algebra (LA) library
- Full control of matrices and vectors
- Many general-purpose optimization algorithms
- Fast implementation of Machine Learning (ML) methods
- Matrix functions with almost the same signature to MATLAB
- Well documented source code and friendly API, very easy to use
Categories
Machine LearningFollow LAML:Linear Algebra and Machine Learning
Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of LAML:Linear Algebra and Machine Learning!
