About: jblas is a fast linear algebra library for Java. jblas is based on BLAS and LAPACK, the de-facto industry standard for matrix computations, and uses state-of-the-art implementations like ATLAS for all its computational routines, making jBLAS very fast.

Changes from 1.0:

• Added singular value decomposition
• Fixed bug with returning complex values
• Many other minor improvements

About: The goal of this project is to provide code for reading and writing machine learning data sets for as many programming languages as possible.

Forgot to include the Java sources.

About: This software contains several matlab scripts for computing the RDE (relevant dimensionality estimate). The RDE measures the number of leading PCA components in feature space which contain the [...]

Initial Announcement on mloss.org.