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Victoria Porter's Projects

airline-sentiment-analysis-using-machine-learning icon airline-sentiment-analysis-using-machine-learning

This project looks to identify what insights can be drawn from the public's sentiment towards 6 different US airlines. There will be an emphasis on exploratory analysis to justify our reasoning for choosing our final model.

android-game-development-savetheworld icon android-game-development-savetheworld

This is a group project completed over the course of 6 months as part of a university module. We developed an android game, "Save the World", using Java and Android Studio.

facial_weakness_identification_for_stroke_prediction icon facial_weakness_identification_for_stroke_prediction

This project looks to build upon existing work to encode the decision making expertise of neurologists in a computational model. The ambition for this research is to create a computational tool to support paramedics and other emergency medical providers in accurately detecting the presence of stroke thus enabling the early onset of treatment and improving the person's quality of life.

machine-learning-techniques-for-recognising-handwritten-digits icon machine-learning-techniques-for-recognising-handwritten-digits

This project encompasses a range of neural and non-neural model implementations to classifiy MNIST digits. The goal is to compare the performance of each technique including details of hyper-parameters, training ans testing errors, training and testing duration and additional parameters used in the analysis.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

root icon root

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

yolact icon yolact

A simple, fully convolutional model for real-time instance segmentation.

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