jared-nelsen Goto Github PK
Name: Jared Nelsen
Type: User
Company: Gateless
Location: Atlanta, Ga
Jared Nelsen's Projects
.doom.d
My Doom Emacs configuration
.emacs.d
My emacs configuration
affinitas_crawler
Amazon Product Data Crawler
binary-association-simulator
Suite for associating binary project
binary-associator-ann
Binary Associator ANN Notebooks
cabo_amazon_crawler
An Amazon Data Crawler Written In Clojure
check-in-app
An App to Check in througout your work life
clojure_back_end_template
Template for Clojure Back End Service
expenses-keeper
A simple Python CLI for tracking expenses
flutter_web_docker_example
An example of how to serve a Flutter Web App from a Docker container
geneticalgorithmvectormapping
An experimental project built to learn how to use Genetic Algorithms as a neural network training algorithm
hebbian-binary-associator
A Hebbian Neural Network Written In Clojure
learned-index-experiment
A Tensorflow Exepriment looking at Learned Indexes
leetcode-problems
A collection of solved Leetcode problems.
loci
Loci is a simple tool for logging your workday and for daily journaling
lustro
An app to record your work
ml-curve-fitting
Curve fitting with Genetic Algorithms
moodmap
A Flutter project to help those who suffer from mental illness
neural-network-training-suite
A scratch-built neural network training and application suite. I implemented a customizable deep-neural network to train against randomized vector data to begin to experiment with video compression, wherein input seed vectors are smaller than the output vectors. I built a Genetic Algorithm as the primary training algorithm but also inluded experimental implementations of Particle Swarm Optimization and Ensemble Learning. The Genetic Algorithm is multi-threaded and I also attempted to harness GPU matrix evaluation using Aparapi but never completed it. The Genetic Algorithm manipulates the weights as an analog to DNA. At each round the DNA is evaluated by applying its properties to a network and running that network against the training data. Experiments can be run by changing which enum constants are used in Driver and by changing parameters in the training algorithms. Feel free to experiment and explore!
notes-on-computing
My collection of notes on Computing
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