|
..
|
|
Boechner_theorem.ipynb
|
|
GP differential equation.ipynb
|
|
GP second order differential equation motion capture.ipynb
|
|
GPy gaussian process regression.ipynb
|
|
GPy introduction covariance functions-Copy0.ipynb
|
|
GPy introduction covariance functions.ipynb
|
|
GPy optimizing gaussian processes.ipynb
|
|
GPy_intro.ipynb
|
|
Low Rank Gaussian Processes.ipynb
|
|
bayesian approach to regression.ipynb
|
|
dimensionality reduction with gaussian processes.ipynb
|
|
gaussian process introduction.ipynb
|
|
gp_intro2.ipynb
|
|
index.ipynb
|
|
jupyter introduction.ipynb
|
|
lab2.ipynb
|
|
lab3.ipynb
|
|
lab4-Copy0.ipynb
|
|
low rank and non gaussian.ipynb
|
|
low rank approximations.ipynb
|
|
multiple outputs.ipynb
|
|
non gaussian likelihoods.ipynb
|
|
probabilistic interpretations of regression.ipynb
|
|
EastTimor2.pickle
|
|
bgplvm_rbf.pickle
|
|
characters.npy
|
|
digit_bgplvm_demo.pickle
|
|
digits.npy
|
|
has_glasses.np
|
|
iterate.dat
|
|
load_bgplvm_dimension_select.py
|
|
load_plotting.py
|
|
pca.py
|