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Michael Neely's Projects

angular-starter icon angular-starter

:tada: An Angular Starter kit featuring Angular 4 (Router, Http, Forms, Services, Tests, E2E, Dev/Prod, HMR, Async/Lazy Routes, AoT via ngc), Karma, Protractor, Jasmine, Istanbul, TypeScript 2, TsLint, Codelyzer, Hot Module Replacement, @types, and Webpack 2 by @AngularClass a @OneSpeed-io company

c-programming icon c-programming

A collection of programs and code snippits from my first year at NUIG

court-of-xai icon court-of-xai

Court of XAI - A Python library for the systematic comparison of feature additive explanation methods.

datasets icon datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

fyp-dialogue-ake icon fyp-dialogue-ake

My Undergraduate Final Year Project: Development of a System for Summarization of Multi-Party Dialogue; An Exploration of Unsupervised Automatic Keyphrase Extraction Techniques.

getsnacked-mean.io-custom-package- icon getsnacked-mean.io-custom-package-

An online, real-time content sharing and discussion website related to all things culinary. Based on a custom package written for the MEAN.IO stack.

lets-test-compositionality icon lets-test-compositionality

Evaluating the compositionality of recurrent and attention-based neural models in terms of both localism and systematicity in the context of a sequence-to-sequence machine translation task on an artificial compositional language

model-uncertainty-pos-tagging icon model-uncertainty-pos-tagging

University of Amsterdam Deep Learning for Natural Language Processing Fall 2021 Course Project - POS Tagging with Bayesian Model Averaging

probing-ar-language-models icon probing-ar-language-models

We investigate the extent to which popular recurrent and attention-based neural models trained with an auto-regressive language modeling objective can represent the hierarchical nature of language by probing linguistic and structural properties using diagnostic classifiers.

sparse-attention-explanation icon sparse-attention-explanation

Analysis of 'Attention is not Explanation' performed for the University of Amsterdam's Fairness, Accountability, Confidentiality and Transparency in AI Course Assignment, January 2020

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