John Cole's Projects
This is a simple editor to be used on the Raspberry Pi (or anywhere?).
Save time and completely automate your book uploads to Kindle Direct Publishing (KDP) with this tool.
Arduberry is the easiest adapter for Raspberry Pi and Arduino
An experimental open-source attempt to make GPT-4 fully autonomous.
Automating Amazon KDP book submission and update
Self Driving Car with the GoPiGo3, machine learning, and python.
Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html
Bloxter Chrome App
The BrickPi Project Combining the Raspberry Pi and LEGO MINDSTORMS
The BrickPi3 connects LEGO Mindstorms with the Raspberry Pi.
https://caravel-user-project.readthedocs.io
A tool for generating clinical notes using Synthea patient FHIR Bundles
the AI-native open-source embedding database
Build a self driving robot that plays a derby game against other robots.
Cohere app to analyze a press release.
This is trash, it's just a Cordova Tutorial
Count words for ChatGPT input, help reduce them.
You enter what number you want it to count to and the number that you want it to count by and it will display the current datetime then count to the number that you entered by the other number you entered and then displays the current datetime so you can view how long it took for it to count. It can print approximately 10,000 numbers a second depending on the system.
Coursera/Stanford Machine Learning course assignments in python
Extract & Inline Critical-path CSS in HTML pages
Above-the-fold CSS generation + inlining using Critical & Gulp
Dexter Industries Sensors
This GitHub repository showcases an example of running the Chroma DB Server in a Docker container, accessible to another service. Link to chromadb documentation: https://docs.trychroma.com/
self driving car
The Roadmap to Learn Generative Adversarial Networks (GANs)
Getting started with NLTK. My working introductions and experiments with NLTK and Natural Language Processing.
Tutorials on how to use Google Vision with the Raspberry Pi.