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Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main...
A Python library for easy creation and manipulation of Google Earth KML and KMZ placemark files.
Please get your copy from http://pykml.cvs.sourceforge.net/viewvc/pykml/pykml/?view=tar