jackbrucesimpson

Reference

Implementing algorithms from scratch so I can learn more about machine learning, statistics and computer science.

Beehind

Experiments with using background averaging to see "beehind" the bees in the beehive

Machine-Learning-Workshop

Machine learning workshop materials

BeeShiny

Honeybee tracking software using the Caffe Deep Learning Library to recognise tags.

Caffe_Confusion_Matrix

Generating a confusion matrix for my Caffe dataset

NEMNN

NEM Neural Net

BeeUnique

Tracking bees with unique tags

PhD_Notebooks

Notes and analysis

Pidentity

Uses the Raspberry Pi camera to detect motion and identify the person in view.

VisCount

Visualisation of count compositional data and associated factors in R.

BeeBuzz

Analysing honeybee audio data

BeeOverlay

Reads CSV file with coordinate data output by BeeShiny and overlays prediction and tracking over the original video.

BeeTracker

BioinformaticsScripts

CodeTemplate

Creates a template for Python, R, C and C++ Programs.

conviction-currents

Visualisation of Convict Travels

CookieCounter

Tracking cookies being taken out of the jar

DBee

Database and Python scripts

forecast

Retrieve daily weather using the forecast.io API

MelanomaGAN

Working through the training course "Semi-Supervised Deep Learning with GANs for Melanoma Detection"

NeuralNetworksFromScratch

Building a neural network from scratch following the book.

PiCluster

Workshop Materials for teaching MPI.

pyomo

An object-oriented algebraic modeling language in Python for structured optimization problems.

RPi

Scripts I've written for configuring the Raspberry Pi