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Awesome GitHub RepositoriesClassification Feature Engineering
Creation of image features specifically for use with predictive modeling and classification algorithms.
Distinct from Computer Vision Features: Focuses on engineering features for tabular classifiers like gradient boosting, rather than general visual pattern extraction for detection.
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Awesome Classification Feature Engineering GitHub Repositories
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- bnsreenu/python_for_microscopists
bnsreenu/python_for_microscopists
4,402Auf GitHub ansehenThis project is a Python bio-imaging toolkit and analysis suite designed for processing and analyzing microscopy and medical images. It provides a collection of tools for image quantification, medical image segmentation, and general bio-imaging workflows. The suite includes specialized capabilities for quantifying biological data, such as measuring neuron branching complexity via Sholl analysis, calculating particle size distributions, and tracking wound area in scratch assays. It also features a medical image segmentation library that implements U-Net architectures for isolating anatomical s
Creates image features optimized for predictive modeling and classification using gradient boosting machines.
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