deancochran Goto Github PK

followers: 2.0 following: 7.0 repos: 36.0 gists: 0.0

Name: Dean Cochran

Type: User

Bio: Avid programmer

Astro Starter Kit: Blog

npm create astro@latest -- --template blog

🧑‍🚀 Seasoned astronaut? Delete this file. Have fun!

Features:

✅ Minimal styling (make it your own!)
✅ 100/100 Lighthouse performance
✅ SEO-friendly with canonical URLs and OpenGraph data
✅ Sitemap support
✅ RSS Feed support
✅ Markdown & MDX support

🚀 Project Structure

Inside of your Astro project, you'll see the following folders and files:

├── public/
├── src/
│   ├── components/
│   ├── layouts/
│   └── pages/
├── astro.config.mjs
├── README.md
├── package.json
└── tsconfig.json

Astro looks for .astro or .md files in the src/pages/ directory. Each page is exposed as a route based on its file name.

There's nothing special about src/components/, but that's where we like to put any Astro/React/Vue/Svelte/Preact components.

Any static assets, like images, can be placed in the public/ directory.

🧞 Commands

All commands are run from the root of the project, from a terminal:

Command	Action
`npm install`	Installs dependencies
`npm run dev`	Starts local dev server at `localhost:3000`
`npm run build`	Build your production site to `./dist/`
`npm run preview`	Preview your build locally, before deploying
`npm run astro ...`	Run CLI commands like `astro add`, `astro check`
`npm run astro --help`	Get help using the Astro CLI

👀 Want to learn more?

Check out our documentation or jump into our Discord server.

Credit

This theme is based off of the lovely Bear Blog.

Dean Cochran's Projects

aws-amplify-immersion-workshop

aws-amplify-react-postagram-app-demo

aws-amplify-skeleton-ui-template

aws-serverless-web-app-workshop

This is a demo of the official aws serverless web app workshop

blog

A personal blog to contain my data science, machine learning, and artificial intelligence experiences

cadence

Full Stack SaaS Progressive Web App Example

cli_quizlet

A simple cli flashcard quiz, with saved JSON format flashcards, decks, and results for analysis

deep-learning-listenbrainz-recommendation

A personal project notebook for the UPF-MTG Music Information Retrieval Course Final Project

dgl_lfm1b

A Deep Graph Library Custom HeteroGraph implementation of the LFM1b dataset

dsc-capstone-project-general-audio-classifier

In this project our goal is to build a general audio classifier capable of recognising different sounds. The Sounds will be ambient noises from an urban environment like sirens traffic noises and construction. The purpose of this project is to understand the intricacies of sound, and what makes similar sounds different. Many people can readily recognise common sounds, for instance a dog bark, but people can identify these sounds only after they’ve learned the characteristics of each sound, after they have heard it through their entire life. I want to work with DSP (Digital Signal Processing) after college and this project serves as a way for me to be introduced into the field. Understanding how a singal is processed if fundamental to understanding how speech recognition, music, and audio prediction can be made.

dsc-captstone-project-song-genre-classifier

In this analysis I follow the Data Science LifeCycle that we focused on master this semester. I explore the data that we to understand the domain of my dataset. This allows to pull more meaningful conclusions from my results. I prepare my data as apart of the 'Data Prepartion' stage by manipulating the data I explored to get ready to plan my classifying models I want to use it this lab. I build the models and tune the hyper-parameters to find the best possible model for classifying a songs genre. Finally I "bag" all the useful models in my results and create another model which is a collection of al models and analyze its reults.