Feature Extraction
Showing 25 of 25 projects
Automatically extracts and selects relevant features from time series data for machine learning tasks.
A Python library for music and audio analysis, providing tools for feature extraction, visualization, and transformation.
A Python library for audio feature extraction, classification, segmentation, and machine learning applications.
A deep learning library for audio and music analysis, providing time-frequency transforms and feature extraction for tasks like classification and MIR.
A Python library for feature engineering and selection with scikit-learn compatible transformers.
A Python NLP library built on spaCy for text preprocessing, feature extraction, and analysis tasks.
An end-to-end Python pipeline for semantic segmentation of aerial and satellite imagery to extract features like buildings and roads.
An open-source C library with MATLAB interfaces implementing popular computer vision algorithms for image understanding and local feature extraction.
A JavaScript library for audio feature extraction, supporting both offline and real-time analysis via the Web Audio API.
A distributed platform for rapid deep learning application development with neural network engine and Hadoop integration.
A deep learning library for tag estimation and semantic feature vector extraction from illustrations.
A convolutional network-based image classifier and feature extractor trained on ImageNet, providing dense feature extraction capabilities.
A TypeScript machine learning library for the web and Node.js with a simple, consistent API.
A Python library for extracting a wide range of audio spectral features from mono audio files using efficient algorithms.
A comprehensive suite of Java NLP libraries and tools for text annotation, feature extraction, and language processing tasks.
A framework for automated extraction of static and dynamic features from Android APKs for malware detection.
An intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features to ML pipelines.
A portable C library for efficient audio feature extraction with a cascading design for performance and flexibility.
A Go-based toolkit for fast ETL and feature extraction on Hadoop, optimized for rapid development and execution.
A Python library for easy access, management, and processing of audio datasets, particularly for machine learning tasks.
C++ implementation of Local Binary Pattern texture descriptors with OpenCV and FFTW3 integration for fast computation.
An automated pipeline for organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy.
A Python package and tutorial collection for signal processing and machine learning, built on NumPy and SciPy.
A pattern recognition library for Go providing classification, clustering, and feature extraction algorithms.
Saul is a declarative domain-specific language in Scala for designing flexible machine learning models with relational feature extraction.
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