johnathanalyst's repositories
MNIST-Polynomial-Regression-Classifier
Polynomial Regression hand-written digit classifier that can recognize digits from the MNIST dataset.
Coursera-Deep-Learning
A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.
Arduino-Temp
Final project for Engineering Physics 223.
Certificates
A collection of certificates I've earned outside of school.
FlowState
Combined GUI framework & state management engine I developed, based on React & Redux
Hungry-Hungry-Doggos
A raspberry pi based automation system for dispensing food, water and treats for my pup while I'm at work.
nand2tetris
A two-course MOOC focused on building a modern computer system - from constructing elementary logic gates all the way through creating a fully functioning general purpose computer.
Neural-Network-Performance-Analyzer
Deploy multiple neural network architectures quickly, view and record performance metrics, record trained weights for application deployment and/or to load into further training sessions later. Video demo in finance AI series on YouTube.
Open-Phone
The Open Phone is an open source, modular phone that gives users their choice of full PC operating system, and hardware components like screen, camera, battery, usb ports, etc. It is designed with security and privacy in mind and features a hardware power switch for the LTE radio. The Open Phone is also the perfect device for electronics engineers and hobbyists, as it features a full 40-pin GPIO header.
SIMPLEST-Neural-Network-Possible
This is THE SIMPLEST neural network implementation you will find (...that's still useful.)
chivington.github.io
My personal blog, research portfolio, resume and more in the Unity UI application framework - a custom, native-app-like web application framework of my design.
chivington.net
Custom web application for my portfolio/resume, built in my Unity framework.
Coursera-Machine-Learning
Machine Learning course that covers the most effective ML techniques, the theoretical underpinnings of learning, the practical knowledge needed to quickly and powerfully apply these techniques to new problems, and best practices in innovation as it pertains to machine learning and AI.
Data-Structures-C
Various data structures, such as linked lists, maps, stacks and tries, implemented in the C programming language.
Embedded-DL
Minimal C deep learning framework, optimized for portability and hardware efficiency.
Literature-Archive
Books, research papers, textbooks, articles, references (e.g., periodic table), etc. for permanent archival.
Mr.-Clean-Droid
An autonomous drone for lazy humans that detects household items you need to pick up!
practice
Just a place to put practice exercises.
q-learning
Testing quantum learning algorithms.