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    Jupyter Notebook
  • Created about 4 years ago
  • Updated almost 3 years ago

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Repository Details

Series of Jupyter Notebooks exploring Machine Learning methods.

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1

darts

Implementations of Viola Jones, Hough Circles and Sobel edge detection.
Python
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2

ml-analysis

Analysing the characteristics of machine learning methods.
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3

memory-of-wine

Classification and clustering methods in Python - Kai Hulme and Jack Bond-Preston
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4

computer-vision

Implementation of traditional computer vision techniques using C++ and the OpenCV library.
C++
1
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5

kaihulme

Config files for my GitHub profile.
1
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6

kaggle-tumour-detection

Tumour detection in f-MRI images from Kaggle dataset.
Jupyter Notebook
1
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7

operating-system-kernel

Implementation of a UNIX-style operating system in C for the ARM architecture.
C
1
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8

generative-learning

Generative learning using autoencoders and GANs with Keras.
Jupyter Notebook
1
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9

artificial-intelligence

Agent-based artificial intelligence, genetic algorithms and modelling.
Jupyter Notebook
1
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10

django-web

Django web app.
Python
1
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11

unknown-signal

Least squares regression classifier in Python.
Python
1
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12

alspac-mhst

ALSPAC data analysis studying links between screen-usage and mental health issues in children. Provided data has been synthesised.
Jupyter Notebook
1
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13

kaggle-house-prices

Submission for Kaggle House Prices : Advanced Regression Techniques competition.
Jupyter Notebook
1
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14

version-control

Version control and CI/CD with GitHub and Travis.
Python
1
star
15

cv

Kai Hulme's CV, based on the Awesome-CV template.
TeX
1
star
16

spring-boot-demo

Demo project showing the setup of a simple Spring Boot web application.
Java
1
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17

breadcrumbs

Breadcrumbs project for BioScientifica.
Java
1
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18

data-science-project-outline

Outline of data science project workflow
1
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19

game-of-life

Concurrent implementation of Conway's Game of Life in XC for the XMOS Explorer kit.
XC
1
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20

ad-gan

Applying generative adversarial networks to medical imaging for increased disease detection rates with little training data.
Python
1
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21

yolo-ocv

Object detection using YOLO-V3 with OpenCV in C++.
C++
1
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22

nestpi

Flask based web app to monitor NestPi, a RasberryPi based nest box camera.
Python
1
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