oxfordml Goto Github PK
Name: Oxford Machine Learning
Type: Organization
Bio: Software and papers from the machine learning research group in the department of engineering science at the university of Oxford.
Location: Oxford
Name: Oxford Machine Learning
Type: Organization
Bio: Software and papers from the machine learning research group in the department of engineering science at the university of Oxford.
Location: Oxford
Library for Bayesian Quadrature
Code for paper: Overlapping Community Detection via Nonnegative Matrix Factorization
Extraction of Narratives from a Provenance Graph. An implementation of the subgraph-matching algorithm by Ebden et al, for HAIDM/AAMAS 2015
Group Fairness constraints for Decision Trees and Regression Models.
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).
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
Code for paper: Inferring social network structure in ecological systems from spatio-temporal data streams
GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
An implementation of the MGP from Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," UAI 2014.
A python implementation of the MUBs Stochastic Trace Estimator.
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.
Marginal MGP implementation in python. Based on Garnett, R., Osborne, M., and Hennig, P. Active Learning of Linear Embeddings for Gaussian Processes. (2014).
Minimal implementation of WSABI_L and WSABI_M in MATLAB.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.