Pinned Repositories
awesome-biomechanics
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
ClusteringInThePresenceOfConceptDrift
Additional materials for the paper "Clustering in the Presence of Concept Drift"
ClusTree
Modifications to the ClusTree clustering algorithm implemented in MOA.
ConceptDriftGenerator
Generator for classification with concept drift. Extension of work done in Webb et al. 2016 and posted to GitHub by Dr. François Petitjean.
Cribbage
Code base for Cribbage as a reinforcement learning problem. Includes environment, agents and training scripts.
D-Stream
Implementation of the D-Stream clustering algorithm for use in MOA. An earlier version is included as part of the MOA 17.06 release.
MixtureModelGenerator
Data stream generators (with and without concept drift) compatible with MOA 17.06.
oneclassclassifiers
Implementations of one-class classifiers. Included as part of the MOA 19.04.0 release.
StreamKM
Modifications to the StreamKM algorithm implemented in MOA. Now included as part of the MOA 17.06 release.
SWoNs
This repository contains code for the project "Synchronizing to Decide in Small-World Networks" from the 2018 Summer School in Computational Sensory-Motor Neuroscience (CoSMo 2018).
richard-moulton's Repositories
richard-moulton/D-Stream
Implementation of the D-Stream clustering algorithm for use in MOA. An earlier version is included as part of the MOA 17.06 release.
richard-moulton/Cribbage
Code base for Cribbage as a reinforcement learning problem. Includes environment, agents and training scripts.
richard-moulton/MixtureModelGenerator
Data stream generators (with and without concept drift) compatible with MOA 17.06.
richard-moulton/StreamKM
Modifications to the StreamKM algorithm implemented in MOA. Now included as part of the MOA 17.06 release.
richard-moulton/ClusteringInThePresenceOfConceptDrift
Additional materials for the paper "Clustering in the Presence of Concept Drift"
richard-moulton/ClusTree
Modifications to the ClusTree clustering algorithm implemented in MOA.
richard-moulton/SWoNs
This repository contains code for the project "Synchronizing to Decide in Small-World Networks" from the 2018 Summer School in Computational Sensory-Motor Neuroscience (CoSMo 2018).
richard-moulton/ConceptDriftGenerator
Generator for classification with concept drift. Extension of work done in Webb et al. 2016 and posted to GitHub by Dr. François Petitjean.
richard-moulton/csvCombiner
A utility for combining data across multiple CSVs using the same ID scheme.
richard-moulton/DESsimulation
A framework that allows MATLAB code to integrate with IDES and run DES simulations
richard-moulton/hello-world
A time-honored tradition in computer programming.
richard-moulton/oneclassclassifiers
Implementations of one-class classifiers. Included as part of the MOA 19.04.0 release.
richard-moulton/awesome-biomechanics
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
richard-moulton/OneClassFrameworks
Three frameworks developed as part of my Master's thesis.
richard-moulton/Information-Bottlenecks-in-Rapid-Motor-Behaviour
Analysis and figure generation code for the paper "Capacity Limits Lead to Information Bottlenecks for Ongoing Rapid Motor Behaviour"
richard-moulton/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
richard-moulton/Quantitatively-assessing-aging-effects-in-rapid-motor-behaviours
Analysis and figure generation code for the paper "Quantitatively assessing aging effects in rapid motor behaviours: a cross-sectional study."