Feature-engine
Feature-engine: A Python package for feature engineering for machine learning - Published in JOSS (2021)
Extracting, Computing and Exploring the Parameters of Statistical Models using R
Extracting, Computing and Exploring the Parameters of Statistical Models using R - Published in JOSS (2020)
SpeechPy - A Library for Speech Processing and Recognition
SpeechPy - A Library for Speech Processing and Recognition - Published in JOSS (2018)
graynet
graynet: single-subject morphometric networks for neuroscience connectivity applications - Published in JOSS (2018)
Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience
Histogram-weighted Networks for Feature Extraction, Connectivity and Advanced Analysis in Neuroscience - Published in JOSS (2017)
t-elf
Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.
theft
R package for Tools for Handling Extraction of Features from Time series (theft)
constituent-treelib
A lightweight Python library for constructing, processing, and visualizing constituent trees.
iSEE
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
https://github.com/brucewlee/lingfeat
[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
upgini
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
emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
https://github.com/ari-dasci/s-tsfe-dl
Time Series Feature Extraction using Deep Learning
the-building-data-genome-project
A collection of non-residential buildings for performance analysis and algorithm benchmarking
msmbuilder
:building_construction: Statistical models for biomolecular dynamics :building_construction:
https://github.com/brucewlee/lftk
[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.
https://github.com/predict-idlab/tsflex
Flexible time series feature extraction & processing
https://github.com/alan-turing-institute/grace
Graph Representation Analysis for Connected Embeddings
https://github.com/alok-ai-lab/mrep-deepinsight
Multiple Representation DeepInsight technique
https://github.com/raptor-ml/raptor
Transform your pythonic research to an artifact that engineers can deploy easily.
https://github.com/mpes-kit/pesfit
Distributed multicomponent lineshape fitting routines and benchmarks for multidimensional spectroscopy and spectral imaging
hogpp
Fast computation of rectangular histogram of oriented gradients (R-HOG) features using integral histogram
speech-recognition-system
The objective of this DLM (Deep Learning Model) is to recognize the emotions from speech.
asaca-automatic-speech-analysis-for-cognitive-assessment
Transform speech into cognitive assessments with ASACA. Achieve accurate predictions and low error rates using our end-to-end toolkit. 🚀🔧
https://github.com/dynamicsandneuralsystems/catch22
catch22: CAnonical Time-series CHaracteristics
https://github.com/asreview/asreview-multilingual-feature-extractor
A model extension for ASReview. ASReview multilingual feature extractor is a feature extractor based on distiluse-base-multilingual-cased-v1.
stabilo
🌀 Stabilo is a Python package for stabilizing video frames or object trajectories using advanced transformation techniques. It supports user-defined masks to exclude specific areas, making it ideal for dynamic scenes with moving objects. Unlike traditional stabilization, it stabilizes content relative to a chosen reference frame.
paperclipinspection
Analyzing Paper Clips Using Deep Learning and Computer Vision Techniques 📎
https://github.com/barahona-research-group/hcga
Highly Comparative Graph Analysis - Code for network phenotyping
asaca-automatic-speech-analysis-for-cognitive-assessment
The automatic system that can extract PRAAT-like speech features from raw speech wav files, and also can get low WER (<10) high quality transcriptions at the same time.
https://github.com/desbordante/desbordante-core
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
mafese
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
ppgfeat
This app takes unfiltered PPG waveform as input and SQI table (Optional) and store single PPG segment.
basictenfeaturesextractor
A simple PlatformIO library for extracting basic ten features per axis from a window or segment of 3 axis accelerometer or similar sensor data for ESP32 or similar boards
https://github.com/atharvapathak/telecom_churn_case_study
Build a classification model for reducing the churn rate for a telecom company
tscan
T-scan: an analysis tool for dutch texts to assess the complexity of the text, based on original work by Rogier Kraf
stabilityselection
Perform stability selection in matlab using a variety of feature selection methods
conveyorvision-bag-counter
ConveyorVision is an innovative real-time system designed to automate the counting and tracking of cement bags on conveyor belts. Utilizing cutting-edge deep learning techniques like YOLOv8 for object detection and Byte tracker for precise tracking, ConveyorVision accurately monitors cement bags as they traverse the conveyor belt.
https://github.com/berenslab/ephyspy
A Python package for electrophysiological feature extraction for patch-clamp experiments.