Showing 4 open source projects for "mulan"

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    MusicLM - Pytorch

    MusicLM - Pytorch

    Implementation of MusicLM music generation model in Pytorch

    Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch. They are basically using text-conditioned AudioLM, but surprisingly with the embeddings from a text-audio contrastive learned model named MuLan. MuLan is what will be built out in this repository, with AudioLM modified from the other repository to support the music generation needs here.
    Downloads: 1 This Week
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  • 2
    Mulan is a java library for learning from multi-label data. It is built on top of the Weka library and currently offers a variety of classification, ranking and feature selection algorithms, an evaluation framework that calculates several measures.
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    Downloads: 91 This Week
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  • 3

    ml2db

    Multi-label machine learning to database

    A Java harness to load data from database, create Weka ARFF and Mulan ARFF+XML files, run machine learning experiments and save the evaluation and predictions to database. If using this code, please quote: BMC Bioinformatics, EnzML: multi-label prediction of enzyme classes using InterPro signatures, Luna De Ferrari, Stuart Aitken, Jano van Hemert and Igor Goryanin http://www.biomedcentral.com/1471-2105/13/61
    Downloads: 0 This Week
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  • 4

    Multilabel Dataset GUI

    An application for evaluating metric in Multilabel dataset

    Multilabel Dataset GUI is a software for evaluating metric in Multilabel dataset. In this project we try to collect as much information as possible for characterizing multilabel dataset. This application is closely based upon the Weka and MULAN framework.
    Downloads: 0 This Week
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