OxfordML/python_mgp OxfordML/python_mgp

  • Stars
    star
    2
  • Language
    Python
  • License
    GNU General Publi...
  • Created over 9 years ago
  • Updated over 9 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
OxfordML/python_mgp
github

OxfordML

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Marginal MGP implementation in python. Based on Garnett, R., Osborne, M., and Hennig, P. Active Learning of Linear Embeddings for Gaussian Processes. (2014).

More Repositories

1

GPz

GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
MATLAB
45
star
2

bayesquad

Library for Bayesian Quadrature
Python
30
star
3

fault-bucket.m

Matlab code for fault and anomaly detection, drawn from MA Osborne, R Garnett, K Swersky, and N de Freitas. Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults. (2012). AAAI Conference on Artificial Intelligence (AAAI 2012).
MATLAB
10
star
4

wsabi

Minimal implementation of WSABI_L and WSABI_M in MATLAB.
MATLAB
7
star
5

GaussianProcess.jl

Julia
3
star
6

BayesianOptimisation.jl

Julia
3
star
7

Fair_Regression

Group Fairness constraints for Decision Trees and Regression Models.
Jupyter Notebook
3
star
8

heatmap_expts

Python
2
star
9

MUBs_TraceEstimators

A python implementation of the MUBs Stochastic Trace Estimator.
C++
2
star
10

EntropicTraceEstimation

MATLAB
1
star