Topics¶

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

Best practices¶

• Deep Learning Best Practices

Boost¶

• SPH Solver for 2D Navier-Stokes

C++¶

• SPH Solver for 2D Navier-Stokes

CMake¶

• Neutron Diffusion Solver

Computer Vision¶

• PyTorch for end-to-end training of a deep learning model

Convolutional Neural Networks¶

• Convolutional Neural Networks for the Cosmic Dawn

Data Analysis¶

• Binary Classification of Patent Texts

Docker¶

• RNA-Sequencing Analysis

Epidemiology¶

• Transmission Modelling

Finance¶

• Decoding Market Signals

Fortran¶

• Neutron Diffusion Solver

GUI¶

• Multi-channel Python GUI

HPC¶

• PyTorch for end-to-end training of a deep learning model
• RNA-Sequencing Analysis

Logistic Regression¶

• Decoding Market Signals

Machine Learning¶

• Binary Classification of Patent Texts
• Convolutional Neural Networks for the Cosmic Dawn
• Deep Learning Best Practices
• Hidden Markov Models for the discovery of behavioural states
• PyTorch for end-to-end training of a deep learning model

NLTK¶

• Binary Classification of Patent Texts

Natural Language Processing¶

• Binary Classification of Patent Texts

Nextflow¶

• RNA-Sequencing Analysis

Nuclear Physics¶

• Neutron Diffusion Solver

NumPy¶

• Binary Classification of Patent Texts
• Convolutional Neural Networks for the Cosmic Dawn
• Euler Maruyama Method for Solving SDEs
• Multi-channel Python GUI

Object Oriented Programming¶

• Binary Classification of Patent Texts
• Neutron Diffusion Solver
• Euler Maruyama Method for Solving SDEs

Optimisation¶

• Markov Chain Monte Carlo

PETSc¶

• Neutron Diffusion Solver

Pandas¶

• Convolutional Neural Networks for the Cosmic Dawn
• Decoding Market Signals
• Hidden Markov Models for the discovery of behavioural states

Patents¶

• Binary Classification of Patent Texts

Physics¶

• Markov Chain Monte Carlo

PyTorch¶

• Deep Learning Best Practices

Python¶

• Binary Classification of Patent Texts
• Convolutional Neural Networks for the Cosmic Dawn
• Decoding Market Signals
• Deep Learning Best Practices
• Euler Maruyama Method for Solving SDEs
• Hidden Markov Models for the discovery of behavioural states
• Markov Chain Monte Carlo
• PyTorch for end-to-end training of a deep learning model
• Multi-channel Python GUI
• RNA-Sequencing Analysis
• SPH Solver for 2D Navier-Stokes

R¶

• Transmission Modelling
• RNA-Sequencing Analysis

Scikit Learn¶

• Binary Classification of Patent Texts
• Convolutional Neural Networks for the Cosmic Dawn

Stan¶

• Transmission Modelling

Statistics¶

• Binary Classification of Patent Texts
• Markov Chain Monte Carlo

Tensorflow¶

• Binary Classification of Patent Texts
• Convolutional Neural Networks for the Cosmic Dawn
• PyTorch for end-to-end training of a deep learning model

Unit Testing¶

• Transmission Modelling
• Markov Chain Monte Carlo

pyTorch¶

• PyTorch for end-to-end training of a deep learning model