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boruta_py

Python implementations of the Boruta all-relevant feature selection method.

course

diabetic-retinopathy

Kaggle diabetic retinopathy competition code

dl-4-tsc

Deep Learning for Time Series Classification

elab-gui-web-portal

eLab GUI (web portal)

kaggle_diabetic_retinopathy

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

machine-learning

:earth_americas: machine learning algorithms tutorials (mainly in Python3)

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

markdown-toc

Generate a markdown TOC (table of contents) for a README or any markdown files, using remarkable. Used by assemble, verb, and lots of other projects on GitHub. API and CLI.

ml

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

neural-nets

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

retina-unet

Retina blood vessel segmentation with a convolutional neural network

scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

tedsds

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

tensorflow

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

tensorflow_examples

Basic examples of TensorFlow

tsfresh

Automatic extraction of relevant features from time series:

unsupervised_anomaly_detection

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.