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Experimenting with musically motivated convolutional neural networks

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Deep Recurrent Neural Network for Audio Source Separation

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Repository containg experiments with Extreme Learning Machines And Reservoir Computing, ELMARC.

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Music auto-tagging experiments for the paper entitled "Timbre Analysis of Music Audio Signals with Convolutional Neural Networks".

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Designing efficient architectures for modeling temporal features with convolutional neural networks

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Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"

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Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

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Tensorflow code for training deep convolutional neural networks for music audio tagging

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Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274

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A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

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