Pinned Repositories
bayes-opt
bodemo
Teaching aid
BOSS
Bayesian Optimisation for String Spaces
botorch
Bayesian optimization in PyTorch
COLING2018
Accompanying code for "Using J-K-fold Cross Validation to Reduce Variance When Tuning NLP Models" from COLING 2018
DSG_talk_2018
Talk (and code) from my talk @ Lancaster Data Science Group on "Parameter tuning off the grid"
emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
FlowMO
Library for training Gaussian Processes on Molecules
GPflux
Deep GPs built on top of TensorFlow/Keras and GPflow
GPy
Gaussian processes framework in python
henrymoss's Repositories
henrymoss/BOSS
Bayesian Optimisation for String Spaces
henrymoss/COLING2018
Accompanying code for "Using J-K-fold Cross Validation to Reduce Variance When Tuning NLP Models" from COLING 2018
henrymoss/FlowMO
Library for training Gaussian Processes on Molecules
henrymoss/bayes-opt
henrymoss/bodemo
Teaching aid
henrymoss/botorch
Bayesian optimization in PyTorch
henrymoss/DSG_talk_2018
Talk (and code) from my talk @ Lancaster Data Science Group on "Parameter tuning off the grid"
henrymoss/emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
henrymoss/GPflux
Deep GPs built on top of TensorFlow/Keras and GPflow
henrymoss/GPy
Gaussian processes framework in python
henrymoss/gym
A toolkit for developing and comparing reinforcement learning algorithms.
henrymoss/henrymoss.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
henrymoss/hugo-pages
henrymoss/jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
henrymoss/trieste
A Bayesian optimization toolbox built on TensorFlow