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A full stack website to let users create neural networks with simple block mechanics

Home Page: https://draymond63.github.io/BlockAI/

Python 10.75% HTML 8.64% CSS 13.68% JavaScript 63.39% Shell 3.54%

blockai's Introduction

Hi there πŸ‘‹

I'm Daniel Raymond. I do a wide range of things, including sensor development, full-stack, and data science. Previously I've worked at SpaceX, AMD, Untether AI, and Applied Brain Research.

Table of Contents

Repos Overview

Embedded and Firmware Projects

  • Segway Simulation (Inverse Pendulum)
    • Developing a simulation a segway to determine physical requirements for components
    • In the future I plan to purchase components based on the requirements and build a physical (miniature) segway that can drive around!
  • Custom Q Extraction
    • There are many ways to extract the quality factor (Q) from a frequency sweep
    • This is me playing around with a new method (instead of fitting a Bode or Nyquist plot πŸ‘€)

Older Projects

Data Science Projects

  • Defining Prerequisite Trees
    • The internet has so much knowledge, but it's hard to know where to start
    • I am attempting to use Wikipedia articles to tell a user what to learn before they can understand any topic.
    • As not all knowledge is heirarchical, I am currently just doing this for math articles
  • Passion Mapping
    • Some knowledge is relational, so it'd be great to visualize the "proximity" of topics
    • I used Wiki articles (w/ click-through rates & word2vec) to map all articles into a 2D space. Clustering this space allows you to understand true groupings of topics

Full Stack Projects

Current Focuses

I'm currently working on segway and Prerequisite Tree.

GitHub stats

blockai's People

Contributors

draymond63 avatar

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