H. Moss's repositories
COLING2018
Accompanying code for "Using J-K-fold Cross Validation to Reduce Variance When Tuning NLP Models" from COLING 2018
bodemo
Teaching aid
botorch
Bayesian optimization in PyTorch
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.
GPflux
Deep GPs built on top of TensorFlow/Keras and GPflow
GPy
Gaussian processes framework in python
gym
A toolkit for developing and comparing reinforcement learning algorithms.
henrymoss.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
trieste
A Bayesian optimization toolbox built on TensorFlow