The Open Source Feature Store for Machine Learning

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Calculates various features from time series data. Python implementation of the R package tsfeatures.

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

Python implementation of "Elliptic Fourier Features of a Closed Contour"

Ablator is a Service that enables you to roll out functionalities at your own pace, and perform good A/B testing.

Sparse and discrete interpretability tool for neural networks

This program allow you to extract some features from pcap files.

🎤 quick library to extract pause lengths from audio files.

High speed mini-batch data reading & preprocessing from BigQuery.

Learning with operator-valued kernels

Detecting important corners in images and real-time video using Harris Corner Detector. and Shi-tomasi corner Detector

� Flow Based netwrok anomaly detection system

Automated Bidirectional Stepwise Selection On Python

Python Procedure for Articulatory (sensor locations) and Acoustic Data (eg. formants) Extraction

[IN PROGRESS] Multimodal feature extraction modules for ease of doing research and reproducibility.

Code used in the article "SATIN: A Persistent Musical Database for Music Information Retrieval" by Yann Bayle, Pierre Hanna and Matthias Robine in CBMI 2017. SATIN is a MIR dataset for reproducible research.

Data and code for the experiments in: "Measuring Thematic Fit with Distributional Feature Overlap". Enrico Santus, Emmanuele Chersoni, Alessandro Lenci and Philippe Blache. EMNLP 2017