Feature Extraction Python Packages

tsfresh

Automatic extraction of relevant features from time series:

feature-engine

Feature engineering and selection open-source Python library compatible with sklearn.

efficientnet-pytorch

A PyTorch implementation of EfficientNet

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

efel

Electrophys Feature Extraction Library

upgini

Intelligent data search & enrichment for Machine Learning

opensmile

Python package for openSMILE

tsfel

An intuitive library to extract features from time series.

medpy

Medical image processing in Python

tsflex

Flexible time series feature extraction & processing

junifer

Forschungszentrum Jülich Neuroimaging Feature Extractor

biosppy

Biosignal Processing in Python

torchextractor

Feature extraction made simple with torchextractor

pygribjump

Python interface to GribJump

hogpp

Fast computation of rectangular histogram of oriented gradients (R-HOG) features using integral histogram

pyhctsa

The most comprehensive time-series feature extraction package in Python.

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

bluepyefe

BluePyEfe: Blue Brain Python E-feature extraction

polytope-python

A library for extracting polytope "features" from datacubes

mistql

A query / expression language for performing computations on JSON-like structures. Built for easy embedding in applications.

kts

Interactive ML Toolset

spacr

spaCR Spatial phenotype analysis of CRISPR–Cas9 screens (spaCR)

blurr-dev

Data aggregation pipeline for running real-time predictive models

speechpy

:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/