Research software comes in many forms; from small but useful MATLAB, Python or R scripts with just a handful of users and one developer right through to fully-fledged applications used by large communities of researchers and supported by teams of specialist developers. We are interested in knowing about all of it. After all, we live in a time when even a mistake in an Excel spreadsheet can change the world.
This is our attempt at collecting a list of research software that has seen significant input from researchers at the University of Sheffield. If you know about something we've missed, please contact us.
- FLAME GPU FLAME GPU is a high performance Graphics Processing Unit (GPU) extension to the FLAME framework. It provides a mapping between a formal agent specifications with C based scripting and optimised CUDA code.
- General Architecture for Text Engineering (GATE) GATE is a popular suite of open source language processing tools, used in a wide range of research and commercial areas, with 30 - 40 000 downloads a year.
- GPy GPy is a Gaussian Process (GP) framework written in Python. Gaussian processes underpin range of modern machine learning algorithms. In GPy, we've used Python to implement a range of machine learning algorithms based on GPs.
- GP_emu GP_emu is designed for building, training, and validating a Gaussian Process Emulator via a series of simple routines.