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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
An open access book on scientific visualization using python and matplotlib
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Easily bring your Python applications online with the world's lightest GUI toolkit.
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).