ParaMontecdslaborg/paramonte
A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
cs.purdue.edu
MatlabBGL is a Matlab package for working with graphs.
A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found here.
Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.
A deep learning framework developed with cleanliness, readability, and speed in mind.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.