Pinned Repositories
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
blog
Data, code, and scripts for the analysis in the Mode blog.
cabox
Convolutional-Network
A convolutional neural network from scratch
CorBinian
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
dsreading
Readings in Data Science: theory and practice
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.
mlip
Worked out programs from Machine Learning in Python by Michael Bowles
nn-from-scratch
Implementing a Neural Network from Scratch
python-by-example
Git repository for the "Python Language Features and Tricks You May Not Know Article" at http://sahandsaba.com/thirty-python-language-features-and-tricks-you-may-not-know.html
atencra's Repositories
atencra/blog
Data, code, and scripts for the analysis in the Mode blog.
atencra/CorBinian
CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
atencra/dsreading
Readings in Data Science: theory and practice
atencra/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.
atencra/nn-from-scratch
Implementing a Neural Network from Scratch
atencra/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
atencra/DemoNeuralNet
Toy project to create a simple working neural net in R
atencra/EffectiveTensorflow
TensorFlow tutorials and best practices.
atencra/ggthemr
Themes for ggplot2.
atencra/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.
atencra/iccp
atencra/imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
atencra/iml
iml: interpretable machine learning R package
atencra/imlplots
Create Interpretable Machine Learning plots and analyse them in a interactive Shiny dashboard
atencra/islrlabs
R programming labs for the book Introduction to Statistical Learning
atencra/Kaggle
Projects on Kaggle datasets
atencra/keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
atencra/lares
Personal Library for Analytics and Machine Learning
atencra/mid_sm
Squirrel Monkey MID Analysis
atencra/midbox
MID analysis code
atencra/MLPB
Machine Learning Problem Bible | Problem Set Here >>
atencra/mner
Constructing and optimizing low-rank second-order maximum noise entropy (MNE) models
atencra/Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
atencra/pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
atencra/pytudes
Python programs to practice or demonstrate skills.
atencra/sand
Statistical Analysis of Network Data with R
atencra/selbosh.github.io
Personal web site, "Tea & Stats", built with blogdown and Hugo
atencra/shap
A unified approach to explain the output of any machine learning model.
atencra/TICC
atencra/whole_cell