Topics¶

Find projects that are relevant to you using the list of topics below.

AI Ethics¶

• Data-Scarce Anomaly Detection

BERTopic¶

• Environmental Literature Analysis with BERTopic & RoBERTa

Behavioural Anomaly Detection¶

• Data-Scarce Anomaly Detection

Best practices¶

• Deep Learning Best Practices

Boost¶

• SPH Solver for 2D Navier-Stokes

Boundary Conditions¶

• Finite Element Method

CMake¶

• 1-Dimensional Neutron Diffusion Solver
• SPH Solver for 2D Navier-Stokes

Computer Vision¶

• Hand-eye Calibration of Medical Robots
• PyTorch for end-to-end deep learning

Conda¶

• RNA Sequencing Analysis

Convergence Analysis¶

• Finite Element Method

Convolutional Neural Networks¶

• CNNs for the Cosmic Dawn

Data Analysis¶

• Binary Classification of Patent Texts

Data Scarcity¶

• Data-Scarce Anomaly Detection

Data analysis¶

• Gene Network Analysis

Diffusion¶

• Time Lag Analysis

Docker¶

• RNA Sequencing Analysis

Dynamic Systems¶

• Hamiltonian Systems in JAX

Epidemiology¶

• Bayesian Inference for SARS-CoV-2 Transmission

Finance¶

• Decoding Market Signals

Finite Difference Method¶

• 1-Dimensional Neutron Diffusion Solver
• Turing Patterns & Partial Differential Equations

Finite Element Analysis¶

• Finite Element Method

Fluid Dynamics¶

• SPH Solver for 2D Navier-Stokes

Fortran Package Manager¶

• Turing Patterns & Partial Differential Equations

GUI¶

• Time Lag Analysis
• Multi-channel Python GUI

Gene Set Enrichment Analysis¶

• Gene Network Analysis

HPC¶

• PyTorch for end-to-end deep learning
• RNA Sequencing Analysis

JAX¶

• Hamiltonian Systems in JAX

LAPACK¶

• Turing Patterns & Partial Differential Equations

Logistic Regression¶

• Decoding Market Signals
• Predicting Colitis with Penalised Regression

Machine Learning¶

• Binary Classification of Patent Texts
• Combinatorial Problems with Reinforcement Learning
• CNNs for the Cosmic Dawn
• Deep Learning Best Practices
• Hidden Markov Models for behavioural states
• Neural Ordinary Differential Equations
• PyTorch for end-to-end deep learning

Matplotlib¶

• Solving SDEs with Euler-Maruyama
• Hamiltonian Systems in JAX
• SPH Solver for 2D Navier-Stokes

Mesh¶

• Finite Element Method

Methods for Single-Cell Gene Network Analysis¶

• Gene Network Analysis

NLTK¶

• Binary Classification of Patent Texts

Natural Language Processing¶

• Binary Classification of Patent Texts
• Environmental Literature Analysis with BERTopic & RoBERTa

Natural language processing¶

• Gene Network Analysis

Nextflow¶

• RNA Sequencing Analysis

Nonlinear Feedback Control¶

• Neural Ordinary Differential Equations

Nuclear Physics¶

• 1-Dimensional Neutron Diffusion Solver

NumPy¶

• Binary Classification of Patent Texts
• CNNs for the Cosmic Dawn
• Solving SDEs with Euler-Maruyama
• Multi-channel Python GUI

Object-Oriented Programming¶

• Binary Classification of Patent Texts
• 1-Dimensional Neutron Diffusion Solver
• Solving SDEs with Euler-Maruyama
• Hamiltonian Systems in JAX
• Navier-Stokes Propagator
• SPH Solver for 2D Navier-Stokes

Optimisation¶

• Combinatorial Problems with Reinforcement Learning
• 1-Dimensional Neutron Diffusion Solver
• Markov Chain Monte Carlo for fun and profit
• Neural Ordinary Differential Equations
• SPH Solver for 2D Navier-Stokes

Ordinary Differential Equations¶

• Hamiltonian Systems in JAX
• Neural Ordinary Differential Equations
• Stochastic Population Dynamics in Changing Environments

PETSc¶

• 1-Dimensional Neutron Diffusion Solver

Pandas¶

• CNNs for the Cosmic Dawn
• Decoding Market Signals
• Hidden Markov Models for behavioural states
• Data-Scarce Anomaly Detection

Parallel Computing¶

• Modelling Organic Crystals Using a Lattice Hamiltonian
• Mathematics of the Mandlebrot Set

Paraview¶

• 1-Dimensional Neutron Diffusion Solver

Partial Differential Equations¶

• Finite Element Method
• Time Lag Analysis
• Turing Patterns & Partial Differential Equations

Patents¶

• Binary Classification of Patent Texts

Physics¶

• 1-Dimensional Neutron Diffusion Solver
• Markov Chain Monte Carlo for fun and profit

Probability Distributions¶

• Solving SDEs with Euler-Maruyama

Profiling¶

• SPH Solver for 2D Navier-Stokes

PyTorch¶

• Deep Learning Best Practices
• Neural Ordinary Differential Equations

Reinforcement Learning¶

• Combinatorial Problems with Reinforcement Learning

RoBERTa¶

• Environmental Literature Analysis with BERTopic & RoBERTa

Robotics¶

• Hand-eye Calibration of Medical Robots

Scikit Learn¶

• Binary Classification of Patent Texts
• CNNs for the Cosmic Dawn
• Data-Scarce Anomaly Detection

Seaborn¶

• Modelling Organic Crystals Using a Lattice Hamiltonian

Single-Cell RNA Sequencing¶

• Gene Network Analysis

Stan¶

• Bayesian Inference for SARS-CoV-2 Transmission

Statistics¶

• Binary Classification of Patent Texts
• Markov Chain Monte Carlo for fun and profit
• Predicting Colitis with Penalised Regression

Stochastic Differential Equations¶

• Solving SDEs with Euler-Maruyama
• Stochastic Population Dynamics in Changing Environments

Tensorflow¶

• Binary Classification of Patent Texts
• CNNs for the Cosmic Dawn
• PyTorch for end-to-end deep learning

Topic Modelling¶

• Environmental Literature Analysis with BERTopic & RoBERTa

Uncertainty Quantification¶

• Solving SDEs with Euler-Maruyama

Unit Testing¶

• Bayesian Inference for SARS-CoV-2 Transmission
• Markov Chain Monte Carlo for fun and profit
• Navier-Stokes Propagator
• Turing Patterns & Partial Differential Equations

Unsupervised Learning¶

• Data-Scarce Anomaly Detection

Visualisation¶

• 1-Dimensional Neutron Diffusion Solver
• Gene Network Analysis
• Modelling Organic Crystals Using a Lattice Hamiltonian
• Mathematics of the Mandlebrot Set
• SPH Solver for 2D Navier-Stokes

pyTorch¶

• PyTorch for end-to-end deep learning