Gaussian processes and Bayesian optimization for images and hyperspectral data
MIT License
Minor updates to accommodate changes in PyTorch-1.8
Published by ziatdinovmax almost 4 years ago
Push minor changes to PyPi
Published by ziatdinovmax almost 4 years ago
Push minor fixes/updates to pypi
Published by ziatdinovmax about 4 years ago
Micro-release to push some fixes to pypi
Published by ziatdinovmax about 4 years ago
Minor update to push some fixes to pypi.
Published by ziatdinovmax about 4 years ago
Minor update to push some fixes to pypi.
Published by ziatdinovmax over 4 years ago
Minor update to push some bug fixes to pypi.
Published by ziatdinovmax over 4 years ago
Bug fixes
Published by ziatdinovmax over 4 years ago
New functionalities:
Fixes:
Published by ziatdinovmax over 4 years ago
Patched "short-term memory" for selecting the next query point in gpbayes.boptim
Published by ziatdinovmax over 4 years ago
Registered DOI for GPim
Published by ziatdinovmax over 4 years ago
Changes:
Published by ziatdinovmax over 4 years ago
Published by ziatdinovmax over 4 years ago
New functionalities for gp.bayes:
Published by ziatdinovmax over 4 years ago
Changes:
Published by ziatdinovmax over 4 years ago
New functionalities:
Breaking changes:
Due to some code refactoring, gpr, skgpr and vgpr are now sitting in gpim.gpreg modules. Hence the import statements like "from gpim import gpr" are not going to work anymore. Instead, use gpim.reconstructor, gpim.skreconstructor, gpim.vreconstructor, gpim.botimizer, gpim.utils.
Published by ziatdinovmax over 4 years ago
GPim is a simple python package that provides a systematic and easy way to apply Gaussian processes (GP) to images and hyperspectral data in Pyro and Gpytorch frameworks.