PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

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Data Parallel Extension for NumPy* or dpnp is a Python library that implements a subset of NumPy* that can be executed on any data parallel device. The subset is a drop-in replacement of core NumPy* ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...