The modelStudio package automates the explanatory analysis of machine learning predictive models. It generates advanced interactive model explanations in ...
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We provide a TensorFlow definition of this model, which we call VGGish, as well as supporting code to extract input features for the model from audio waveforms ...
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The ingredients package is a collection of tools for assessment of feature importance and feature effects. It is imported and used to compute model ...
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a serverless HTML site with only one line of code. This tool is. model-agnostic, therefore compatible with most of the black-box predictive.
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Some demonstrations of what you can do with carat: Rhythmic patterns demo notebook: how to extract rhythmic patterns from an audio recording.
This directory contains the Keras code to construct the model, and example code for applying the model to input sound files. Installation. YAMNet depends on the ...
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Loading and using models. To load a model, use spacy.load() with the model name, a shortcut link or a path to the model data directory. import spacy nlp ...
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Illustration of AST. This repository contains the official implementation (in PyTorch) of the Self-Supervised Audio Spectrogram Transformer (SSAST) proposed in ...
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