Pinned Repositories
An-Evaluation-of-Modern-Text-Summarization-Methods
AssemblyInfoUtil
Fork of https://www.codeproject.com/Articles/31236/How-To-Update-Assembly-Version-Number-Automaticall
Canadian-Provence-GeoJSON
This is a collection of Canadian GeoJSON files I've created for various projects.
collaborate-next
DistanceVector
Small program to compute distance vector tables
Notes-app
PicoFlight
A Flight Computer for rp2040.
StyleSwap-Next.js-client
Next.js front end for my image style transfer project. Server: https://github.com/JoshuaPeddle/ImageTransfer-server
StyleSwap-Server
Flask server that provides access to an arbitrary image style transfer model. Client: https://github.com/JoshuaPeddle/ImageTransfer-client
Visualizing-Technology-Use-by-Age-and-Region
Comp3100. Team 32. Joshua Peddle & Ethan Mc Donald.
JoshuaPeddle's Repositories
JoshuaPeddle/Canadian-Provence-GeoJSON
This is a collection of Canadian GeoJSON files I've created for various projects.
JoshuaPeddle/Notes-app
JoshuaPeddle/An-Evaluation-of-Modern-Text-Summarization-Methods
JoshuaPeddle/AssemblyInfoUtil
Fork of https://www.codeproject.com/Articles/31236/How-To-Update-Assembly-Version-Number-Automaticall
JoshuaPeddle/collaborate-next
JoshuaPeddle/DistanceVector
Small program to compute distance vector tables
JoshuaPeddle/Fruit-Detector
JoshuaPeddle/llama2-API
Python API server for LLaMA2 models
JoshuaPeddle/PicoFlight
A Flight Computer for rp2040.
JoshuaPeddle/StyleSwap-Next.js-client
Next.js front end for my image style transfer project. Server: https://github.com/JoshuaPeddle/ImageTransfer-server
JoshuaPeddle/StyleSwap-Server
Flask server that provides access to an arbitrary image style transfer model. Client: https://github.com/JoshuaPeddle/ImageTransfer-client
JoshuaPeddle/Visualizing-Technology-Use-by-Age-and-Region
Comp3100. Team 32. Joshua Peddle & Ethan Mc Donald.
JoshuaPeddle/Ender3V2-CR-SEP
This is optimized firmware for Ender3 V2/S1 3D printers.
JoshuaPeddle/Guessing-Game
JoshuaPeddle/ML.NET_IMDB_sentiment
This project demonstrates the use of ML.NET for creating, training, and making predictions with a sentiment analysis model. It features user-selectable IMDB datasets for flexible model training and provides real-time sentiment classification of user-inputted text.
JoshuaPeddle/ML.NET_yelp_sentiment
This is an example using ML.NET to create, train and make predictions using the Model Builder.
JoshuaPeddle/nextjs-blog
This is my personal blog.
JoshuaPeddle/TownSuite.TwainScanner
JoshuaPeddle/TownSuite.Web.ImageGen_libheif
Simple web avatars, placeholders, and image proxy