DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

An intuitive library to add plotting functionality to scikit-learn objects.

Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).

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