🔬motif-learn: machine learning in scanning transmission electron microscopy
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Updated
May 23, 2024 - Python
🔬motif-learn: machine learning in scanning transmission electron microscopy
Easy-to-Use C++ Computer Vision Library
Python package for extraction, visualization, and analysis of physiological data collected through wearable sensors.
📊 Computation and processing of models' parameters
Forschungszentrum Jülich Neuroimaging Feature Extractor
Python framework for automated time series classification and regression
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
Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.
Audio feature extraction for JavaScript.
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
Highly comparative time-series analysis
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A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
An intuitive library to extract features from time series.
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.
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