Craig A (atencra)

atencra

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Craig A's repositories

blog

Data, code, and scripts for the analysis in the Mode blog.

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CorBinian

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

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dsreading

Readings in Data Science: theory and practice

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ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

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nn-from-scratch

Implementing a Neural Network from Scratch

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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DemoNeuralNet

Toy project to create a simple working neural net in R

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EffectiveTensorflow

TensorFlow tutorials and best practices.

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ggthemr

Themes for ggplot2.

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gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

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imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

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iml

iml: interpretable machine learning R package

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imlplots

Create Interpretable Machine Learning plots and analyse them in a interactive Shiny dashboard

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islrlabs

R programming labs for the book Introduction to Statistical Learning

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Kaggle

Projects on Kaggle datasets

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keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

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lares

Personal Library for Analytics and Machine Learning

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mid_sm

Squirrel Monkey MID Analysis

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midbox

MID analysis code

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MLPB

Machine Learning Problem Bible | Problem Set Here >>

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mner

Constructing and optimizing low-rank second-order maximum noise entropy (MNE) models

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Neural-Networks-Demystified

Supporting code for short YouTube series Neural Networks Demystified.

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pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

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pytudes

Python programs to practice or demonstrate skills.

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sand

Statistical Analysis of Network Data with R

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selbosh.github.io

Personal web site, "Tea & Stats", built with blogdown and Hugo

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shap

A unified approach to explain the output of any machine learning model.

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