Limbo - Limbo 2.1

Limbo 2.1 release

Limbo (LIbrary for Model-Based Optimization) is an open-source C++11 library for Gaussian Processes and data-efficient optimization (e.g., Bayesian optimization) that is designed to be both highly flexible and very fast. It can be used as a state-of-the-art optimization library or to experiment with novel algorithms with "plugin" components. Features in a glance: - Implementation of the classic algorithms (Bayesian optimization, many kernels, likelihood maximization, etc.) - Modern C++-11 - Generic framework (template-based / policy-based design), which allows for easy customization, to test novel ideas - Experimental framework that allows user to easily test variants of experiments, compare treatments, submit jobs to clusters (OAR scheduler), etc. - High performance (in particular, Limbo can exploit multi-core computers via Intel TBB and vectorize some operations via Eigen3) - Purposely small to be easily maintained and quickly understood

This version was accepted at the Journal of Open-Source Software. Documentation is available at: http://www.resibots.eu/limbo

Scientific Software - Peer-reviewed - C++
Published by costashatz almost 8 years ago

Limbo - Limbo 2.0

Limbo 2.0 release

Limbo (LIbrary for Model-Based Optimization) is an open-source C++11 library for Gaussian Processes and data-efficient optimization (e.g., Bayesian optimization) that is designed to be both highly flexible and very fast. It can be used as a state-of-the-art optimization library or to experiment with novel algorithms with "plugin" components. Features in a glance: - Implementation of the classic algorithms (Bayesian optimization, many kernels, likelihood maximization, etc.) - Modern C++-11 - Generic framework (template-based / policy-based design), which allows for easy customization, to test novel ideas - Experimental framework that allows user to easily test variants of experiments, compare treatments, submit jobs to clusters (OAR scheduler), etc. - High performance (in particular, Limbo can exploit multicore computers via Intel TBB and vectorize some operations via Eigen3) - Purposely small to be easily maintained and quickly understood

Documentation is available at: http://www.resibots.eu/limbo

Scientific Software - Peer-reviewed - C++
Published by costashatz over 8 years ago

Limbo - Limbo 1.0

Limbo's first official release. A lightweight framework for Bayesian optimization of black-box functions (C++11) and, more generally, for data-efficient optimization. Limbo is designed to be very fast and very flexible. Features in a glance: - Implementation of the classic algorithms (Bayesian optimization, many kernels, likelihood maximization, etc.) - Modern C++-11 - Generic framework (template-based / policy-based design), which allows for easy customization, to test novel ideas - Experimental framework that allows user to easily test variants of experiments, compare treatments, submit jobs to clusters (OAR scheduler), etc. - High performance (in particular, Limbo can exploit multicore computers via Intel TBB and vectorize some operations via Eigen3) - Purposely small to be easily maintained and quickly understood

Documentation is available at: http://www.resibots.eu/limbo

Scientific Software - Peer-reviewed - C++
Published by costashatz over 9 years ago