wolfecameron

music_recommendation

contains the notebooks that I created for implementing probabilistic matrix factorization in PyTorch for music recommendation engine.

LRSchedules

An implementation of many different types of schedules for the learning rate.

GIST

Repository for "GIST: Distributed training for large-scale graph convolutional networks"

optimizers

implements various optimizers from scratch for analysis and comparison

i-SpaSP

Repository for the i-SpaSP neural network pruning algorithm.

CPPN_springopt

Implements CPPN to be fit to target images - creates indirect representation of any input target image using augmenting topology neural network.

CPPN_to

Library that implements CPPN and applies it to optimizing 3D printing structures/topology optimization.

LinkIt

This is a website that I created that uses Optical Character Recognition (OCR) to parse URLs off of pictures uploaded to the website (by phone or computer) and return them to a user to copy and paste.

CPPNProjects

Personal Implementation of a Compositional Pattern Producing network as well as some other projects that I created using CPPN.

EngGermanMT

Personal project for building a machine translation model between English and German.

neat-python

Python implementation of the NEAT neuroevolution algorithm

BetterPrecisionSchedules

Explore tons of different schedules for quantization.

data_structures

Practice projects utilizing various forms of data structures.

deap

Distributed Evolutionary Algorithms in Python

DEAP_projects

Various individual projects - finding solutions to common evolutionary AI problems.

FlappyBird

Simple version of the popular "flappy bird" app (written in java).

GCP_flask_demo

Simple website that I built to demonstrate how to create and deploy web applications using python, Flask, and Google Cloud Platform.

gitfit

gitfit is a fitness tracking website that I am developing for fun and to practice skills in web/software development.

google-cloud-python

Google Cloud Client Library for Python

LADIES

Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

MachineLearning

Various Machine Learning/Data projects that I worked on for fun in my free time.

nanoMoE

An extension of the nanoGPT repository for training medium-sized MOE models.

Picture_crossover_python

This python script mixes two pictures to create a unique output picture that is slightly different from each of its parents. It is intended to be used with an evolutionary algorithm to evolve photos to create new ones. A script is also included that creates a CAD representation of a .png picture in openSCAD for 3D printing purposes.

python-mnist

Simple MNIST data parser written in Python

recycling_label_detector

Computer Vision project for detecting the recycling number off of a recycling label within an image.

RMS_channel

Contains all of the presentation files for the tutorials provided on my "Research Made Simple" YouTube channel.

structural_RNN

Implements a recurrent neural network for the purpose of generating novel gear mechanism structures, evolved with GA.

wolfecameron.github.io