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aas-extended-examples

dynamask

This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.

fundamentals-of-social-data-science

This repository contains files for the coursework on Social Data Science. It further includes my final work, titled "A comparison of the sentiments of two major media outlets in the context of the COVID-19 pandemic".

llms_interface

mining-the-social-web-3rd-edition

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

oxford-applied-analytical-statistics

oxford-applied-machine-learning

This repository contains sample code I worked on for the class "Applied Machine Learning" at Oxford University, Hillary Term, 2021.

oxford-data-analytics-at-scale

This is a repository containing a sample of the code for my final project at Oxford for the class "Data Analytics at Scale".

oxford-final-thesis

This is sample code from my oxford thesis repository. The final thesis introduces a new method of clustering sentence embeddings for topic modelling.

oxford-machine-learning

This repository contains files that relate to the final submission of the Machine Learning class at Oxford University, Michaelmas Term 2020.

oxford-natural-language-processing

This is a repository with some sample code from the Natural Language Processing course from Hillary Term 2020 at Oxford. Projects include work with transformer models, especially BERT, as well as neural networks (simple NNs, LSTMs, RNNs)

python-youtube-code