Summary of open source code for deep learning models in the field of traffic prediction

The RAP community of practice includes all analysts and data scientists who are interested in adopting the working practices included in reproducible analytical pipelines (RAP) at NHS Digital.

This repository holds group projects from NLU's NASA TOPS Open Science Summer Workshops

TOPST SCHOOL Sphinx Documentation

Supplementary materials for "Corpus linguistic and experimental studies on the meaning-preserving hypothesis in Indonesian voice alternations" (published in Linguistics Vanguard).

Data and code for SMJ 2019 paper

Lesson templates for use with the UKRN Workshop Builder

Github Profile

Repository of supplementary materials and RStudio project for the paper on corpus-based approach to measuring constructional equivalence.

The RAP rework of the SSDP (aka Devices) reporting pipeline

Data and code for OS 2024 paper

a simple template for a workshop, needs further customisation

Replication code for a range of research projects. Includes the scripts and data (when possible) necessary to reproduce the results associated with published projects.