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awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

ecg-authentificate

Can we identify people based on their heartbeat. This is a great code to see how to apply deep learning on sequences

kaggle-rsna18

Code for 1st place solution in Kaggle RSNA Pneumonia Detection Challenge.

lungmask

Adjusted Automated lung segmentation in CT -- Improved UI

maria-antoniak.github.io

missingno

Missing data visualization module for Python.

ml_project_template

Avoid repetitive work and start the ML projects faster.

pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

physionet-2020

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

python-classifier-2020

Python example classifier for the PhysioNet/Computing in Cardiology Challenge 2020

r_predictive_maintenance_web_dashboard

Survival Analysis to predict future failure events of routing machine in an Industrial Environment

segmentationfault

python lightgbm segmentation fault (core dumped) error

self-adaptive-learning-model-skeleton

Complete setup of self-tuning model control running On GPU

sepsis-dataset

public and easier access to sepsis data

sepsis-physionet-2019

Early detection of Sepsis

soufianedatafan

soufianedatafan.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

text_topic_clustering

You have 1000s of Memos written by so many people. Most of them talk about similar subjects. Gather alike memos into one common cluster. It works well for data standardization.

wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

you-snooze-you-win

Deep learning on multi-channel time series classification (medical data)