Explore @OxfordML Open Source projects

Oxford Machine Learning (@OxfordML)

OxfordML

Stars
111
Global Org. Rank 55,132 (Top 18 %)
Registered over 10 years ago
Most used languages

MATLAB
36.4 %

Python
27.3 %

Julia
18.2 %

Jupyter Notebook
9.1 %

C++
9.1 %
Location 🇬🇧 United Kingdom
Country Total Rank 8,720
Country Ranking

MATLAB
78

Julia
116

Jupyter Notebook
3,038

Python
3,408

C++
4,450

GPz

GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data

bayesquad

Library for Bayesian Quadrature

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).

wsabi

Minimal implementation of WSABI_L and WSABI_M in MATLAB.

GaussianProcess.jl

BayesianOptimisation.jl

Fair_Regression

Group Fairness constraints for Decision Trees and Regression Models.

Jupyter Notebook

heatmap_expts

MUBs_TraceEstimators

A python implementation of the MUBs Stochastic Trace Estimator.

python_mgp

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

EntropicTraceEstimation