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adl-coursework

COMSM0045 Applied Deep Learning Coursework

ads

Applied Data Science (ADS) is a third year Computer Science Unit at the University of Bristol. This repository contains my formative coursework completed during labs.

alexelwood14

azure-connector-public

A public version of the solution that I created while working for Ying Bi Lie. For security reasons, some lines of code have been redacted.

bayes-neuropixel

A Bayesian analysis of mouse brain data collected via a Neuropixel probe. This activity was carried out as a part of the Bristol Bayes for the Brain 2022 workshop.

chess

My attempt at making an implementation of Chess while learning Python

coms10012

COMS10012 Software Tools

coms10014

COMS10014 Mathematics for Computer Science A

coms20011_2021

Data-driven Computer Science UoB

comsm0085

COMSM0085 Overview of Software Tools

concurrent-particles

garmin-watch-face

This project aims creates a custom watch face for my Garmin Fenix 5s Plus.

hello-ai

Hello-AI is a personal project to create a simple AI to drive a car around an arbitrary track using an artificial neural network trained using a genetic/evolutionary method.

introduction-to-julia

Learn the language basics in this 10-part course.

lab_sheets_public

labsheets

COMSM0045 Applied Deep Learning Labsheets 2022

mandelbrot-viewer

A small project to use OpenGL to view and navigate the Mandelbrot set.

o2-lfp-modelling

This project aims to use a Bayesian model to relate Amperometric Oxygen data and Local Field Potential (LFP) data.

os161

ops-class.org OS/161 sources.

physics-studio

A collection of various physics simulations, including Boids, particle mechanics and realistic car movement.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

strava-ml

three.js

JavaScript 3D Library.

visual-sorter

A program to visualise various sorting algorithms. Created to help learn how to implement the algorithms.