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Oxford Machine Learning's Projects

commdetnmf icon commdetnmf

Code for paper: Overlapping Community Detection via Nonnegative Matrix Factorization

enpg icon enpg

Extraction of Narratives from a Provenance Graph. An implementation of the subgraph-matching algorithm by Ebden et al, for HAIDM/AAMAS 2015

fair_regression icon fair_regression

Group Fairness constraints for Decision Trees and Regression Models.

fault-bucket.m icon 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).

generalnetworktools icon generalnetworktools

Contains a collection of general network analysis tools I have been using during my D.Phil. For more advanced operations, see the comDetNMF, BOMP and GMMevents

gmmevents icon gmmevents

Code for paper: Inferring social network structure in ecological systems from spatio-temporal data streams

gpz icon gpz

GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data

mgp icon mgp

An implementation of the MGP from Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," UAI 2014.

pyibcc icon pyibcc

A Bayesian method for combining crowdsourced classifications, e.g. for citizen science projects. The default class, ibcc.py provides a variational Bayes algorithm for Independent Bayesian Classifier Combination.

python_mgp icon 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).

wsabi icon wsabi

Minimal implementation of WSABI_L and WSABI_M in MATLAB.

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