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sheacardozo's Projects

advent-of-code-2019 icon advent-of-code-2019

Solutions for the Advent of Code daily coding challenges (https://adventofcode.com/2019/about).

advent-of-code-2020 icon advent-of-code-2020

Repo containing my solutions for the Advent of Code 2020 daily coding challenges (https://adventofcode.com/2020/about).

advent-of-code-2021 icon advent-of-code-2021

Repo containing my solutions for the Advent of Code 2021 daily coding challenges (https://adventofcode.com/2021/about).

adversarial-conditional-unet icon adversarial-conditional-unet

A project to train a UNET model to generate adversarial examples on the CIFAR-10 dataset that can fool a variety of state-of-the-art classification models

csc2541_project icon csc2541_project

This repo is to hold code related to the CSC2541 Winter 2022 final project.

digit-recognizer icon digit-recognizer

A project to set up a Convolutional Neural Network to recognize hand-written digits, combined with a front-end Android application.

ganilla-style-transfer-app icon ganilla-style-transfer-app

This is a project that attempts to create a Android application that captures images from the phone camera and passes the image to a GANILLA (a variant of CycleGAN) style-transfer model.

gans-jax icon gans-jax

Implementation of several Generative Adversarial Networks in JAX / Flax

graddy icon graddy

A basic ML framework implemented entirely from scratch in Python. Includes an implementation of AutoGrad, data structures for Tensors and Neural Networks, and optimization objects.

stylegan2-projects icon stylegan2-projects

This repo is intended to store various StyleGAN2 image generation models trained on different image datasets.

trump-tweet-generator icon trump-tweet-generator

A project to finetune a GPT-2 338M model on US President Donald Trump's twitter feed, along with a basic Flask website to display some generated outputs from the model.

work-term-report icon work-term-report

This repo is intended to store code used as part of my Sept-Dec 2019 work term report, where I compare the accuracy of a Linear model and a XGBoost model for the purposes of insurance pricing.

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