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Russell Ho's Projects

cnn-computer-vision-model-analysis icon cnn-computer-vision-model-analysis

This model was designed around Pycoco's dataset, the CNN model constructed outputs training loss graphs and a confusion matrix for the network of interest

cochlear-implant-project icon cochlear-implant-project

MATLAB code for Cochlear Implant Project that aims to explore the nuances of speech-to-speech, melody-to-melody signal processing.

computer-vision-resnet-object-detector icon computer-vision-resnet-object-detector

Residual Neural Network Object Detector written for Pycocotool's library. Model implements custom skip block connections and uses a custom dataset loader for image classification object detection.

generative-adversarial-network-pizzas- icon generative-adversarial-network-pizzas-

A generative adversarial network engineered that utilizes a discriminator and a generator. The GAN can be trained using a Binary Cross Entropy Loss or a Wasserstein Distance Loss to generate replicate images based on input data.

grade-report-a.i. icon grade-report-a.i.

Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.

principal-component-analysis-and-fitting-linear-models icon principal-component-analysis-and-fitting-linear-models

The MATLAB code written in the 3 files correspond to fitting linear models/testing the fitted model with independent datasets and Principal Component Analysis on Imported Datasets written in MATLAB. Each of the 3 files were written in accordance to assignment specifications

sentiment-analysis-with-gru icon sentiment-analysis-with-gru

This repository contains three variants of a Sentiment Analysis model that uses a GRU (Gated Recurrent Unit) to predict the sentiment of a given text as either positive or negative. The models were built using PyTorch, and the training and testing data came from DLStudio

typeracer-project icon typeracer-project

This program utilizes the Selenium library to automate the playing of the online game Typeracer. Running the program will open the Google Chrome browser and start a new session as a guest for Typeracer.

vision-transformer icon vision-transformer

Implementation of Vision Transformer (ViT) model for image classification on a custom dataset (the pyCOCO dataset). The model leverages the power of the transformer architecture to classify images into 5 different categories

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