Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Repositories
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spleeter
Deezer source separation library including pretrained models.
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SingingLanguageIdentification
Dataset splits for reproducing our ICASSP21 paper.
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rust-ectoken
Token Generator for Edgecast Token-Based Authentication from Verizon Digital Media Services
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fastgae
Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Remy, M. Moussallam and M. Vazirgiannis (2020)
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CrossCulturalMusicGenrePerception
Python code to reproduce the experiments presented in the article Modeling the Music Genre Perception across Language-Bound Cultures, presented at the EMNLP 2020 conference.
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MusicGenreTranslation
Python code for reproducing music genre translation experiments presented in the paper Leveraging knowledge bases and parallel annotations for music genre translation ISMIR 2019.
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MultilingualMusicGenreEmbedding
Python code to reproduce the experiments presented in the paper Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation (ISMIR 2020).
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muzeeglot
Web interface application to visualize multilingual music genre embeddings and generated cross-lingual music genre annotations for Wikipedia music entities (artists, bands, albums, tracks).
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linear_graph_autoencoders
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 implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
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interpretable_nn_attribution
Source code from our RecSys 2020 paper: "Making neural network interpretable with attribution: application to implicit signals prediction" (D. Afchar, R. Hennequin)
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carousel_bandits
Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli
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MultilingualLyricsToAudioAlignment
DALI dataset split used to train models presented in the paper Multilingual lyrics-to-audio alignment (ISMIR 2020).
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gravity_graph_autoencoders
Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis
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spleeter-gpu-feedstock
Forked from conda-forge/spleeter-gpu-feedstockA conda-smithy repository for spleeter-gpu.
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spleeter-feedstock
Forked from conda-forge/spleeter-feedstockA conda-smithy repository for spleeter.
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cover_song_detection
Tools to run experiments around large scale cover detection.
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android-sample
Sample application using Deezer Android SDK
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w2v_reco_hyperparameters_matter
Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. Royo-Letelier. The paper will be published on the 12th ACM Conference on Recommender Systems, Vancouver, Canada, 2nd-7th October 2018
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sigir2019-2stagesampling
Improving Collaborative Metric Learning for Recommendation by a 2-stage negative sampling strategy.
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iOS-sdk-samples
Samples applications using Deezer iOS SDK in Objective-C & Swift
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template-remover
Template remover
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elasticmsd
Transfer the Million Song Dataset (MSD) in an Elasticsearch index
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audio_based_disambiguation_of_music_genre_tags
Supporting data for the paper: R. Hennequin, J. Royo Letelier, M. Moussallam "Audio Based Disambiguation Of Music Genre Tags", ISMIR 2018
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deezer_mood_detection_dataset
A dataset of Valence/Arousal detection with deezer Id and MSD Id as input
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weslang
A language detection Web Service
