Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
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Updated
May 17, 2024 - Jupyter Notebook
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints
Python framework for automated time series classification and regression
🔬motif-learn: machine learning in scanning transmission electron microscopy
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
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.
Feature extraction tool build in Rust using eBPF for network intrusion detection
Modular components for dataset preprocessing: a data-trimmer, a standarizer, a sliding-window generator and a feature selector, all optionally useable from command-line.
catch22: CAnonical Time-series CHaracteristics
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
📊 Computation and processing of models' parameters
🗃️Generates a report counting the number of scenarios of a Feature
Source for book "Feature Engineering A-Z"
Audio feature extraction for JavaScript.
A personal list of papers and resources of image matching and pose estimation, including perspective images and panoramas.
Python package for extraction, visualization, and analysis of physiological data collected through wearable sensors.
A human activity recognizer based on accelerometer data using a decision tree classifier and a feature extractor (TSFEL).
Comparative analysis of different feature extraction techniques for hyperspectral image classification.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
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