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Shane Weisz's Projects

auto-counterspeech icon auto-counterspeech

Automatic generation of counterspeech responses to fight hate speech (code for Cambridge MPhil Thesis)

csc3002f-virtualmemoryalgorithms icon csc3002f-virtualmemoryalgorithms

This final year Computer Science assignment involved implementing the FIFO, LRU and Optimal page replacement algorithms used for virtual memory.

dlogs icon dlogs

Evaluating a deep learning approach to online network traffic classification for community networks (code for UCT Honours Thesis)

functionalprogramming-haskell icon functionalprogramming-haskell

Haskell implementations of solutions to classic Computer Science problems - including the Countdown Problem and Turing Machine Simulation

googlefoobar icon googlefoobar

My solutions to the Google FooBar Secret Recruitment Challenges - Levels 1, 2, 3 and 4

gps icon gps

Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech (ACL-IJCNLP 2021 Findings)

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

knapsackproblem-evolutionaryalgorithms icon knapsackproblem-evolutionaryalgorithms

Solving the 0-1 Knapsack Problem using Evolutionary Computing algorithms and Metaheuristics – namely Genetic Algorithms, Simulated Annealing and Particle Swarm Optimization

lighthouseproblem-bayesiananalysis icon lighthouseproblem-bayesiananalysis

Uses Bayesian methods in R to solve 'The Lighthouse Problem', predicting the location of a lighthouse given a series of observed flashes on the coastline.

mlmi13 icon mlmi13

Code for the Cambridge MLMI MPhil Coursework

ocr-character-confusion icon ocr-character-confusion

This project evaluates OCR engines (Tesseract in particular) by generating character level confusion matrices from sample test data.

shaneweisz-website icon shaneweisz-website

My personal website (http://shaneweisz.com) to display useful personal information and documents, and learn basic front-end development.

titanicdataset-survivalprediction icon titanicdataset-survivalprediction

Using R to fit (i) Logistic Regression Models, and (ii) Tree-based Models, on the Titanic Dataset to predict whether or not a given passenger survived the crash.

viker-capstoneproject icon viker-capstoneproject

A robust tool, termed ViKER, facilitating bidirectional transformations between conceptual database models in the form of an EER diagram and Abstract Relational Models (ARMs)

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