Beast code in Giters

Niko Brummer's repositories

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

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Python toolkit for likelihood-ratio calibration of binary classifiers

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Probabilistic Spherical Discriminant Analysis

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A probabilistic scoring backend for length-normalized embeddings.

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This repositoty [contains / will contain] Python code associated with our Oddyssey paper [put arXiv link here].

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Some automatic diffferentiation coding experiments in Julia

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Continued development and maintenance of original Bilbao Toolkit (https://sites.google.com/site/bilbaotoolkit/).

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Provides a convenience method to inspect local variables in running Julia code.

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