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  1. spleeter spleeter Public

    Deezer source separation library including pretrained models.

    Python 24k 2.7k

  2. linear_graph_autoencoders linear_graph_autoencoders Public

    Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementat…

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  3. javascript-samples javascript-samples Public

    Samples for the Deezer Javascript SDK

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  4. KustomExport KustomExport Public

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  5. w2v_reco_hyperparameters_matter w2v_reco_hyperparameters_matter Public

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Repositories

Showing 10 of 66 repositories
  • ex2vec Public
    Python 3 0 0 0 Updated Nov 23, 2023
  • spleeter Public

    Deezer source separation library including pretrained models.

    Python 24,043 MIT 2,660 196 29 Updated Nov 17, 2023
  • deezer.github.io Public

    Research team website

    SCSS 11 GPL-3.0 5 0 0 Updated Nov 7, 2023
  • musicFPaugment Public

    Code for reproducting the paper Music Augmentation and Denoising For Peak-Based Audio Fingerprinting

    Python 8 MIT 0 0 0 Updated Oct 31, 2023
  • spiky_svd Public

    Code repository of our RecSys 2023 paper "Of Spiky SVDs and Music Recommendation" - D. Afchar, R. Hennequin, V. Guigue (2023)

    Python 3 0 0 0 Updated Oct 24, 2023
  • consistency Public

    Repository for the RecSys 2023 Paper "On the Consistency of Average Embeddings for Item Recommendation"

    Python 0 0 0 0 Updated Aug 31, 2023
  • music-ner-eacl2023 Public

    Code and data to reproduce the experiments presented in the article "A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation Queries" (EACL 2023)

    Python 7 MIT 1 0 1 Updated Aug 14, 2023
  • KustomExport Public

    EXPERIMENTAL : A JS facade generator for KotlinJS / KMP

    Kotlin 60 Apache-2.0 10 14 0 Updated Jul 27, 2023
  • zeroNoteSamba Public

    Repository for the TASLP 2023 Paper "Zero-Note Samba".

    Python 18 1 0 0 Updated Jul 25, 2023
  • sigir23-mojito Public

    Source code from the SIGIR 2023 article "Attention Mixtures for Time-Aware Sequential Recommendation" by V.A. Tran, G. Salha-Galvan, B. Sguerra, and R. Hennequin

    Python 21 0 1 0 Updated Jul 4, 2023