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      "votes": 38
    },
    {
      "ref": "ryches/birdsong-keras-starter-continuation",
      "votes": 10
    },
    {
      "ref": "dipta007/birdsong-cnn-pytorch",
      "votes": 10
    },
    {
      "ref": "namanj27/basic-audio-eda-librosa",
      "votes": 8
    },
    {
      "ref": "shonenkov/sample-submission-using-custom-check",
      "votes": 171
    },
    {
      "ref": "maxwell110/mluticlass-to-muiltilabel",
      "votes": 29
    },
    {
      "ref": "anshuls235/bird-chirp-recognition-extensive-eda",
      "votes": 39
    },
    {
      "ref": "ryuheeeei/data-visualization-and-sound-processing-tutorial",
      "votes": 20
    },
    {
      "ref": "cwthompson/birdsong-making-a-prediction",
      "votes": 190
    },
    {
      "ref": "enforcer007/what-is-micro-averaged-f1-score",
      "votes": 27
    },
    {
      "ref": "rhtsingh/cornell-birdcall-superfast-mp3-to-wav",
      "votes": 19
    },
    {
      "ref": "gopidurgaprasad/mfcc-feature-extraction-from-audio",
      "votes": 105
    },
    {
      "ref": "grapestone5321/cornell-birdcall-identification-eda",
      "votes": 3
    },
    {
      "ref": "artemsolomin/birdcall-eda",
      "votes": 4
    },
    {
      "ref": "subinium/birdcall-eda-with-full-visualization",
      "votes": 11
    },
    {
      "ref": "ishaan45/scipy-based-audio-analysis-and-train-eda",
      "votes": 2
    },
    {
      "ref": "ayonrab/birdsong-draft-1",
      "votes": 0
    },
    {
      "ref": "hamditarek/audio-data-analysis-using-librosa",
      "votes": 369
    },
    {
      "ref": "ajax0564/some-preprocessing-ideas",
      "votes": 11
    },
    {
      "ref": "seriousran/mfcc-feature-extraction-for-sound-classification",
      "votes": 132
    },
    {
      "ref": "parulpandey/eda-and-audio-processing-with-python",
      "votes": 363
    },
    {
      "ref": "yujirokita/birdsong-dictionary",
      "votes": 13
    },
    {
      "ref": "gabrielmilan/mp3-to-numpy-and-back",
      "votes": 27
    },
    {
      "ref": "sonmou/birdie-numnum-visualize-data-summary",
      "votes": 15
    },
    {
      "ref": "pranavkasela/parallelized-spectrogram-as-numpy",
      "votes": 31
    },
    {
      "ref": "harshris21/complete-eda",
      "votes": 16
    },
    {
      "ref": "rahulgulia/hey-smart-machine-can-you-identify-me",
      "votes": 7
    },
    {
      "ref": "artkulak/birdcall-extensive-eda-simple-rfc-submission",
      "votes": 17
    },
    {
      "ref": "anuragupadhyaya/cornell-birdcall-data-shading-visual-eda",
      "votes": 13
    },
    {
      "ref": "angqx95/eda-with-geospatial-analysis",
      "votes": 7
    },
    {
      "ref": "shahules/bird-watch-complete-eda-fe",
      "votes": 124
    },
    {
      "ref": "jamesd5/some-geo-eda",
      "votes": 2
    },
    {
      "ref": "kurianbenoy/quick-eda-spectogram-analysis-of-audio-file",
      "votes": 11
    },
    {
      "ref": "ryches/birdsong-keras-starter",
      "votes": 31
    },
    {
      "ref": "ryches/birdsong-data-prep-datasetpls",
      "votes": 12
    },
    {
      "ref": "rohitsingh9990/eda-visualizations-simple-baseline",
      "votes": 83
    },
    {
      "ref": "frlemarchand/bird-song-classification-using-an-efficientnet",
      "votes": 358
    },
    {
      "ref": "docxian/birds-geography",
      "votes": 11
    },
    {
      "ref": "muhakabartay/birdcall-eda-full-basemap-geo-3d-elevation",
      "votes": 41
    },
    {
      "ref": "rohanrao/birdcall-eda-chirp-hoot-and-flutter",
      "votes": 95
    },
    {
      "ref": "tarunpaparaju/birdcall-identification-spectrogram-resnet",
      "votes": 197
    },
    {
      "ref": "artgor/which-bird-is-it",
      "votes": 125
    },
    {
      "ref": "nxrprime/simple-eda-preprocess-and-geographical-viz",
      "votes": 16
    },
    {
      "ref": "jpmiller/intraspecie-differences-based-on-geography",
      "votes": 81
    },
    {
      "ref": "pavansanagapati/birds-sounds-eda-spotify-urban-sound-eda",
      "votes": 568
    }
  ]
}