All exemplars
A set of research computing exemplars with rich learning annotation for doctoral students and researchers who are working on projects with significant computational aspects.
Use the navigation bar to filter exemplars by category...
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Mathematics of the Mandlebrot Set
Juan Carlos Bilbao-Ludena
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Neural Ordinary Differential Equations
Ekin Ozturk
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Predicting Colitis with Penalised Regression
Fabio Feser
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Environmental Literature Analysis with BERTopic & RoBERTa
Yurong Yu
Topic Modelling, BERTopic, RoBERTa, Natural Language Processing
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Cracking Time's Code: Survival Analysis of Large Datasets
Valentina Quintero Santofimio
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Hand-eye Calibration of Medical Robots
Zejian Cui
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Turing Patterns & Partial Differential Equations
Elliot James Badcock
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Deep Learning Best Practices
Antoni Bigata Casademunt
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SPH Solver for 2D Navier-Stokes
Georgios Efstathiou
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Hidden Markov Models for behavioural states
Laurence Blackhurst
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Decoding Market Signals
Benjamin Scharpf
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Binary Classification of Patent Texts
Egheosa Ogbomo
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CNNs for the Cosmic Dawn
Kimeel Sooknunan
Python, NumPy, Tensorflow, Scikit Learn, Pandas, Convolutional Neural Networks, Machine Learning
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Solving SDEs with Euler-Maruyama
Antonio Malpica-Morales
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Multi-channel Python GUI
Shuaixun Wang
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RNA Sequencing Analysis
Jack Gisby
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Bayesian Inference for SARS-CoV-2 Transmission
Bethan C Daniels
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1-Dimensional Neutron Diffusion Solver
Jack Trainor
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Markov Chain Monte Carlo for fun and profit
Tom Hodson
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PyTorch for end-to-end deep learning
Emily Muller
Python, pyTorch, Tensorflow, Computer Vision, Machine Learning, HPC