{
  "source": "live Code list",
  "fetched_at": "2026-10-18T13:59:46Z",
  "count": 515,
  "complete": true,
  "items": [
    {
      "ref": "jennyyila/yamnet-frozen-lightgbm-export",
      "votes": 0
    },
    {
      "ref": "jennyyila/notebook149927cb53",
      "votes": 0
    },
    {
      "ref": "jaysonchen1997/bird-jayson-fastai",
      "votes": 0
    },
    {
      "ref": "tangweiyux/notebook1-2",
      "votes": 0
    },
    {
      "ref": "tangweiyux/notebook1-1",
      "votes": 0
    },
    {
      "ref": "tangweiyux/notebookadf4fcf405",
      "votes": 0
    },
    {
      "ref": "samejimatink0/birdclef-2026-hgnetv2-b0-pretrain",
      "votes": 5
    },
    {
      "ref": "samithsachidanandan/transforming-audio-to-mel-spec-birdclef-26",
      "votes": 5
    },
    {
      "ref": "overvalueawareness/bc25-separation-voice-from-data",
      "votes": 9
    },
    {
      "ref": "pointgoat/birdclef-train-baseline1",
      "votes": 0
    },
    {
      "ref": "gouroveroy/species-identification-in-noisy-soundscapes",
      "votes": 8
    },
    {
      "ref": "quentinshrimpard/submissionnotebook",
      "votes": 7
    },
    {
      "ref": "quentinshrimpard/mixedtraining",
      "votes": 0
    },
    {
      "ref": "quentinshrimpard/pseudolabeling",
      "votes": 0
    },
    {
      "ref": "quentinshrimpard/mobilenettraining",
      "votes": 0
    },
    {
      "ref": "tangweiyux/bird-clef-2025-ensemble-v2-final",
      "votes": 0
    },
    {
      "ref": "mancer146/clefeda",
      "votes": 0
    },
    {
      "ref": "mancer146/inferenceclefupdated",
      "votes": 3
    },
    {
      "ref": "cuongng1/efficientnet-b0-pytorch-train-birdclef-70d9b7",
      "votes": 0
    },
    {
      "ref": "licanhou/model-train",
      "votes": 4
    },
    {
      "ref": "licanhou/inference",
      "votes": 5
    },
    {
      "ref": "nocarbonintelligence/birdclef-eda",
      "votes": 3
    },
    {
      "ref": "mancer146/birdstest",
      "votes": 1
    },
    {
      "ref": "robbynevels/bc25-evaluation-512x305-16q-40e",
      "votes": 0
    },
    {
      "ref": "xxjutinnnxx/notebook09aee2a990",
      "votes": 0
    },
    {
      "ref": "charleswangz/notebook26b0317f42",
      "votes": 0
    },
    {
      "ref": "alexkagozi/birdclef-2025",
      "votes": 1
    },
    {
      "ref": "vishwaskaggle645/birdclef2025-1st-place-inference",
      "votes": 0
    },
    {
      "ref": "hubfor/birdclef-25-transfer-learning-beats-inference",
      "votes": 4
    },
    {
      "ref": "hubfor/birdclef-25-transfer-learning-beats",
      "votes": 5
    },
    {
      "ref": "xinaocheng/inference-acceleration-pytorch-openvino",
      "votes": 4
    },
    {
      "ref": "rahibasherief/birdclef-inference",
      "votes": 0
    },
    {
      "ref": "aysenursafak/resnet50finetunedmodel",
      "votes": 0
    },
    {
      "ref": "tudorosan03/itdl-sesion-b",
      "votes": 0
    },
    {
      "ref": "huojingyu/bird25-weightedblend-nfnet-seresnext-e7d03f",
      "votes": 0
    },
    {
      "ref": "niket47/birdclef-2025-fine-tune-ssast-for-classification",
      "votes": 0
    },
    {
      "ref": "mariadodonova/birdclef-2025-submission",
      "votes": 1
    },
    {
      "ref": "mariadodonova/birdclef-2025-modelling",
      "votes": 0
    },
    {
      "ref": "yannaktb/insightful-birdclef-2025-eda",
      "votes": 1
    },
    {
      "ref": "salmanahmedtamu/20th-place-training",
      "votes": 20
    },
    {
      "ref": "vladimirsydor/bird-clef-2025-minimul-inference",
      "votes": 3
    },
    {
      "ref": "vialactea/b5-train-ebs-426",
      "votes": 7
    },
    {
      "ref": "vladimirsydor/bird-clef-2025-ensemble-v2-final-final",
      "votes": 24
    },
    {
      "ref": "pokpong00/notebook1f930599bb",
      "votes": 1
    },
    {
      "ref": "leoferiz/pseudo-train",
      "votes": 0
    },
    {
      "ref": "leoferiz/pseudo-creator",
      "votes": 1
    },
    {
      "ref": "mikaelpallas/os-walk2",
      "votes": 1
    },
    {
      "ref": "nikitababich/birdclef2025-1st-place-inference",
      "votes": 165
    },
    {
      "ref": "houxiyu/birdclef2025-inference-openvino",
      "votes": 0
    },
    {
      "ref": "ngocminhdiego/birdclef",
      "votes": 2
    },
    {
      "ref": "tulathornpoonsub/birdsoundeiei",
      "votes": 1
    },
    {
      "ref": "leonshangguan/fork-of-fork-of-chektime-final-of-speedup-exp-of-b",
      "votes": 2
    },
    {
      "ref": "vialactea/bird-clef-2025-ensemble-v2-final",
      "votes": 7
    },
    {
      "ref": "thitanatnasongkhla/efficientnet-b0-debugging",
      "votes": 2
    },
    {
      "ref": "loekie/multiple-linear-regression-analysis",
      "votes": 0
    },
    {
      "ref": "pictureinthenoise/inference-enb0-bird-classification-pub",
      "votes": 3
    },
    {
      "ref": "pictureinthenoise/training-enb0-bird-classification-pub",
      "votes": 1
    },
    {
      "ref": "i2nfinit3y/bird2025-9th-place-solution",
      "votes": 24
    },
    {
      "ref": "haogebob/bird2025-a-great-single-model-lb-0-901",
      "votes": 8
    },
    {
      "ref": "zuoliao11/birdclef2025-inference-openvino",
      "votes": 31
    },
    {
      "ref": "zuoliao11/birdclef2025-convert-models-openvino",
      "votes": 12
    },
    {
      "ref": "dmunster/pl-power-adjustment-inference-first5-humanless",
      "votes": 0
    },
    {
      "ref": "dmunster/pl-efficientnet-b0-pytorch-inference-birdc",
      "votes": 0
    },
    {
      "ref": "leonshangguan/chektime-final-of-speedup-exp-of-bird2025-onnx-sub",
      "votes": 1
    },
    {
      "ref": "lohithashwa/efficientnet-duration-exp-with-original-data-inf",
      "votes": 2
    },
    {
      "ref": "oles04/inference-birdclef-model",
      "votes": 3
    },
    {
      "ref": "tudorosan03/itdl-2025",
      "votes": 4
    },
    {
      "ref": "yuxuexue/the-version-of-submission",
      "votes": 1
    },
    {
      "ref": "nemoingendaa/efficientnetv2-in21k-pseudo-14k-inference",
      "votes": 0
    },
    {
      "ref": "mehedihasanmoon/finala",
      "votes": 2
    },
    {
      "ref": "siavrez/another-blend-combo-shift-rare",
      "votes": 2
    },
    {
      "ref": "lohithashwa/duration-experiment-with-original-data",
      "votes": 0
    },
    {
      "ref": "pondelion/birdclef2025-ensemble-inference",
      "votes": 7
    },
    {
      "ref": "salmanahmedtamu/fork-of-fork-of-less-smoothing-ensemble-eff-and-nf",
      "votes": 11
    },
    {
      "ref": "oles04/birdclef-mulit-label-audio-classification-train",
      "votes": 3
    },
    {
      "ref": "leonshangguan/speedup-exp-of-bird2025-onnx-sub",
      "votes": 2
    },
    {
      "ref": "nemoingendaa/pseud-label-creator-efficientnet-in21k",
      "votes": 0
    },
    {
      "ref": "svenmeijboom/effnet-ensemble",
      "votes": 0
    },
    {
      "ref": "svenmeijboom/regnet-ensemble",
      "votes": 0
    },
    {
      "ref": "nemoingendaa/efficientnetv2-in21k-pseudo-train",
      "votes": 1
    },
    {
      "ref": "daniduhnev/efficientnet-b0-pytorch-inference-pseudo-model",
      "votes": 0
    },
    {
      "ref": "adamfarrag/convnext-tiny-pytorch-inference-birdclef-25",
      "votes": 0
    },
    {
      "ref": "vladimirsydor/bird-clef-2025-ensemble-v2",
      "votes": 4
    },
    {
      "ref": "svenmeijboom/calculate-ensemble-weights",
      "votes": 0
    },
    {
      "ref": "ichigoe/extracting-5-second-segments-with-highest-energy",
      "votes": 1
    },
    {
      "ref": "sheershsrivas/kfold-inference",
      "votes": 3
    },
    {
      "ref": "vialactea/b5-onnxruntime-v1-22",
      "votes": 0
    },
    {
      "ref": "dmunster/pseudo-labeling-with-weightedblend-0-88",
      "votes": 0
    },
    {
      "ref": "loekie/inference-notebook-event-detection",
      "votes": 0
    },
    {
      "ref": "hideyukizushi/bird25-pubnb-g-121-ppv15-convnextv2-nano-e20-s82",
      "votes": 11
    },
    {
      "ref": "sheemamasood/birdclef2025-psedolabelling-for-ssl",
      "votes": 2
    },
    {
      "ref": "tranthaiduong123/birdcleff",
      "votes": 4
    },
    {
      "ref": "sunderekkiz/bird25-weightedblend-nfnet-seresnext-0-878",
      "votes": 2
    },
    {
      "ref": "maxmelichov/bird25-0-902-auc",
      "votes": 13
    },
    {
      "ref": "gregspitz/birdclef-2025-efficientnet-predict-4",
      "votes": 1
    },
    {
      "ref": "nyoftrung/bc25-eda-convert2meldali",
      "votes": 1
    },
    {
      "ref": "aimanwafi99/bird-seeker-2",
      "votes": 0
    },
    {
      "ref": "amancy/notebookbc284285fe",
      "votes": 1
    },
    {
      "ref": "michael1o2/birdclef25",
      "votes": 19
    },
    {
      "ref": "aysenursafak/birdclef-2025-last2",
      "votes": 1
    },
    {
      "ref": "kumarandatascientist/bird25-weightedblend-0-88",
      "votes": 582
    },
    {
      "ref": "vineetdairashri/training-model-3",
      "votes": 1
    },
    {
      "ref": "devalpatel01/efficientnet-v4",
      "votes": 3
    },
    {
      "ref": "johnyim1570/bird25-weightedblend-nfnet-seresnext-0-878",
      "votes": 241
    },
    {
      "ref": "loekie/training-notebook-event-detection",
      "votes": 0
    },
    {
      "ref": "aryagaikwad/arya-g-efficientnet-b0-pytorch-inference-bird",
      "votes": 2
    },
    {
      "ref": "kazutoshiinoue/bird2025-single-sed-model-inference",
      "votes": 8
    },
    {
      "ref": "rahibasherief/submission-csv",
      "votes": 0
    },
    {
      "ref": "uoftryanren/bird25-openvino-ensemble-infer-baseline-bronze-sol",
      "votes": 1
    },
    {
      "ref": "thebalanceder/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829",
      "votes": 3
    },
    {
      "ref": "yuchiawu/bird25-openvino-ensemble-infer-baseline-lb-874",
      "votes": 5
    },
    {
      "ref": "adamfarrag/convnext-tiny-pytorch-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "markosmarkosyan/notebook8467cb21d0",
      "votes": 0
    },
    {
      "ref": "pokpong00/notebook20c2edf1ba",
      "votes": 1
    },
    {
      "ref": "devalpatel01/efficientnet-pseudolabel-v1",
      "votes": 0
    },
    {
      "ref": "dynamo14324/biodiversity-ml-model",
      "votes": 0
    },
    {
      "ref": "dynamo14324/notebookceca9dc954",
      "votes": 0
    },
    {
      "ref": "yutongzhang20080108/google-bird-vocalization-classifier-clean",
      "votes": 16
    },
    {
      "ref": "oumiww/bird25beginner-efficientnetb2-0-741",
      "votes": 1
    },
    {
      "ref": "pavelssuskis/bird-clef-nosie-on-file-load",
      "votes": 0
    },
    {
      "ref": "ricardocipta/birdclef-25-v1",
      "votes": 0
    },
    {
      "ref": "aa0909600601/bird25-weightedblend-nfnet-convnextv2-lb-860",
      "votes": 0
    },
    {
      "ref": "haokehan/bird-infference",
      "votes": 7
    },
    {
      "ref": "sheemamasood/birdclef2025-submissions",
      "votes": 3
    },
    {
      "ref": "vineetdairashri/final-bird25-weightedblend-nfnet-convnext-db",
      "votes": 52
    },
    {
      "ref": "miracklc/data-visualisations-analysys",
      "votes": 1
    },
    {
      "ref": "haokehan/bird-train-final",
      "votes": 0
    },
    {
      "ref": "miracklc/neural-network",
      "votes": 0
    },
    {
      "ref": "jj1nnu/birdclef2025-melspecs-256x256-5sec-16bit",
      "votes": 0
    },
    {
      "ref": "haokehan/to-train-dataset",
      "votes": 0
    },
    {
      "ref": "sietze535/pseudo-label-creator-w-non-linear-threshold-topn",
      "votes": 20
    },
    {
      "ref": "miracklc/ml-training-gbc-svm",
      "votes": 3
    },
    {
      "ref": "ttd113/birdclef2025-1-crop-audio-10s",
      "votes": 1
    },
    {
      "ref": "sietze535/pseudo-label-creator-with-dynamic-threshold",
      "votes": 3
    },
    {
      "ref": "miracklc/nn-archithetures",
      "votes": 0
    },
    {
      "ref": "kagger3/notebook1a0bc009bb",
      "votes": 1
    },
    {
      "ref": "miracklc/distillation",
      "votes": 0
    },
    {
      "ref": "miracklc/efficientnet-submission",
      "votes": 1
    },
    {
      "ref": "sheershsrivas/training-regnet008-on-perch-labels-for-train-data",
      "votes": 2
    },
    {
      "ref": "miracklc/submission-advanced",
      "votes": 2
    },
    {
      "ref": "sinankemalalmaz/the-one",
      "votes": 3
    },
    {
      "ref": "pokpong00/training-efficientnet-b3",
      "votes": 3
    },
    {
      "ref": "miracklc/eff-netv2s",
      "votes": 0
    },
    {
      "ref": "sheemamasood/birdclef2025-mel-generation",
      "votes": 2
    },
    {
      "ref": "uoftryanren/bird25-inference-seresnext-nfnet-bronze-medal",
      "votes": 3
    },
    {
      "ref": "miracklc/efficientnetv2-s-train",
      "votes": 3
    },
    {
      "ref": "stpeteishii/birdclef-audio-clip-lightning-mlp",
      "votes": 2
    },
    {
      "ref": "sheemamasood/birdclef2025-model-training",
      "votes": 4
    },
    {
      "ref": "stpeteishii/birdclef-audio-clip-wav-to-npy",
      "votes": 1
    },
    {
      "ref": "spatola/ml-in-practice-assignment",
      "votes": 5
    },
    {
      "ref": "diogocm/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 0
    },
    {
      "ref": "asdasadsa/notebook56ddae1392",
      "votes": 0
    },
    {
      "ref": "alifsathar/bird25-weightedblend-nfnet-convnextv2-lb-860",
      "votes": 2
    },
    {
      "ref": "miracklc/mobilenetv3-small-train",
      "votes": 2
    },
    {
      "ref": "njbaby/transforming-audio-to-mel-spec-birdclef-25",
      "votes": 1
    },
    {
      "ref": "njbaby/birdclef2025-v-2",
      "votes": 3
    },
    {
      "ref": "sorachatworasan/birdclef2025",
      "votes": 3
    },
    {
      "ref": "i2nfinit3y/bird2025-single-sed-model-inference-lb-0-857",
      "votes": 329
    },
    {
      "ref": "sorachatworasan/training-0-65-0-66",
      "votes": 0
    },
    {
      "ref": "miracklc/resnet-birdclef2025",
      "votes": 0
    },
    {
      "ref": "digantabhattacharya/clef-dataset-enhancer-pre-process",
      "votes": 33
    },
    {
      "ref": "hideyukizushi/bird25-nfnet-convnextv2-weightedblend-lb-860",
      "votes": 433
    },
    {
      "ref": "kongyanmiao/efficientnet-b0-pytorch-inference-birdc-fe474c",
      "votes": 0
    },
    {
      "ref": "aryagaikwad/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 4
    },
    {
      "ref": "sharmajicoder/birdclef-training",
      "votes": 7
    },
    {
      "ref": "timothylovett/human-voice-removal-caution-around-ruther1",
      "votes": 8
    },
    {
      "ref": "pokpong00/birdclef-v3-4e3bdc",
      "votes": 0
    },
    {
      "ref": "pokpong00/birdclef-v3",
      "votes": 2
    },
    {
      "ref": "devalpatel01/efficientnet-v2-submission",
      "votes": 2
    },
    {
      "ref": "manikarikhari/notebook774a8a9a69",
      "votes": 0
    },
    {
      "ref": "hurryliu/efficientnet-b0-pytorch-inference-birdc-292701",
      "votes": 1
    },
    {
      "ref": "yutongzhang20080108/birdclef2025-random-crop-audio-10s",
      "votes": 4
    },
    {
      "ref": "hurryliu/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 1
    },
    {
      "ref": "sambui22022517/birdclef-2025-data-tiny",
      "votes": 0
    },
    {
      "ref": "chandanreddy10/birdclef-2025",
      "votes": 7
    },
    {
      "ref": "sambui22022517/birdclef-2025-data-small",
      "votes": 1
    },
    {
      "ref": "hosseinbahraminekoo/birdclef2025-train",
      "votes": 1
    },
    {
      "ref": "ryenhails/efficientnet-b0-pytorch-inference-birdc-ensemb",
      "votes": 1
    },
    {
      "ref": "laithetrung/bc25submissionver2",
      "votes": 1
    },
    {
      "ref": "lanyuchun/generate-2-mel-spectrogram",
      "votes": 0
    },
    {
      "ref": "shkolc/code-notebook-freetojoin-int3405",
      "votes": 2
    },
    {
      "ref": "plhyai/fork-of-birdclef-submission-notebook",
      "votes": 2
    },
    {
      "ref": "loekie/training-notebook-resnet",
      "votes": 2
    },
    {
      "ref": "adamfarrag/resnet-pytorch-inference-birdclef-25",
      "votes": 2
    },
    {
      "ref": "dmunster/eda-efficientnet-b0-inference-birdclef-25",
      "votes": 0
    },
    {
      "ref": "svenmeijboom/ensemble-notebook",
      "votes": 3
    },
    {
      "ref": "myso1987/post-processing-with-power-adjustment-for-low-rank",
      "votes": 355
    },
    {
      "ref": "adamfarrag/resnet-pytorch-train-birdclef-25",
      "votes": 1
    },
    {
      "ref": "tom99763/sound-event-detection-with-tensorflow-probability",
      "votes": 2
    },
    {
      "ref": "devalpatel01/efficientnet-v3",
      "votes": 0
    },
    {
      "ref": "sheemamasood/birdclef-2025-data-prepartion",
      "votes": 2
    },
    {
      "ref": "hanchenbai/birdclef2025-inference-notebook",
      "votes": 3
    },
    {
      "ref": "lohithashwa/ast-inference",
      "votes": 0
    },
    {
      "ref": "bruceqdu/test-20250515",
      "votes": 3
    },
    {
      "ref": "houxiyu/efficientnet-b0-pytorch-train-birdclef-d285a8",
      "votes": 0
    },
    {
      "ref": "shigeokitamura/efficientnet-b0-pytorch-inference",
      "votes": 10
    },
    {
      "ref": "durlabhshukla/fork-of-birdcelf1",
      "votes": 0
    },
    {
      "ref": "dungdogodz/ensemble-solution",
      "votes": 2
    },
    {
      "ref": "jj1nnu/efficientnet-b0-pytorch-training-birdclef-25",
      "votes": 1
    },
    {
      "ref": "dairuiwei/birdclef-2025-with-drw-second",
      "votes": 4
    },
    {
      "ref": "lohithashwa/ast-training",
      "votes": 1
    },
    {
      "ref": "sheemamasood/bird-clef-2025-eda",
      "votes": 21
    },
    {
      "ref": "jj1nnu/birdclef-2025-convnext-v2-lightgbm-training",
      "votes": 1
    },
    {
      "ref": "clonelinkcheese/notebook3f4d9a1168",
      "votes": 1
    },
    {
      "ref": "chandrimaucsd/multiclass-foyie-submit",
      "votes": 1
    },
    {
      "ref": "shigeokitamura/transforming-audio-to-mel-spec",
      "votes": 8
    },
    {
      "ref": "shigeokitamura/efficientnet-b0-pytorch-train",
      "votes": 6
    },
    {
      "ref": "casperverhoeve/efficientnet-b0-smoothed-no-human-inference",
      "votes": 1
    },
    {
      "ref": "zhangguangdian/inference-work",
      "votes": 4
    },
    {
      "ref": "shyamgupta196/my-dmc-baseline-for-birdclef2025",
      "votes": 5
    },
    {
      "ref": "pipdesmet/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 1
    },
    {
      "ref": "mnjalab/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829",
      "votes": 2
    },
    {
      "ref": "haokehan/efficientnet-b0-pytorch-inference-birdc-da099f",
      "votes": 0
    },
    {
      "ref": "zhangguangdian/bird-train",
      "votes": 4
    },
    {
      "ref": "harukadoyu/audio-to-mel-spec",
      "votes": 0
    },
    {
      "ref": "hanokh/efficientnet-b0-pytorch-train-birdclef-083416",
      "votes": 1
    },
    {
      "ref": "hosseinbahraminekoo/birdclef-2025-inference",
      "votes": 1
    },
    {
      "ref": "nypate9999/efficientnet-model-with-focalloss",
      "votes": 0
    },
    {
      "ref": "shiinehata/birdclef-pcen-cnn",
      "votes": 3
    },
    {
      "ref": "yuxuexue/efficientnet-b0-pytorch-train-birdclef-fbc102",
      "votes": 1
    },
    {
      "ref": "harukadoyu/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "ryusukei/create-dataset",
      "votes": 0
    },
    {
      "ref": "nypate9999/efficientnet-cvn-model",
      "votes": 1
    },
    {
      "ref": "parunchaitimklip/bird-25-regnety008-v1-0-811",
      "votes": 1
    },
    {
      "ref": "chingyumarvinwong25/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "chingyumarvinwong25/birdclef",
      "votes": 0
    },
    {
      "ref": "yxw666/bird-data-resample",
      "votes": 3
    },
    {
      "ref": "yxw666/train-spec",
      "votes": 0
    },
    {
      "ref": "ducle19/bc25-b0-mpl",
      "votes": 0
    },
    {
      "ref": "goatyogurt/0-5publicscore",
      "votes": 7
    },
    {
      "ref": "taxuanduy/whisper-finetune-birdclef-25",
      "votes": 3
    },
    {
      "ref": "hoamyi/birdclef-2025-cnn-basic-resnet-pipieline",
      "votes": 3
    },
    {
      "ref": "dungdogodz/notebook633924022a",
      "votes": 2
    },
    {
      "ref": "ngoclinh22nlinh/inference-quy",
      "votes": 2
    },
    {
      "ref": "laithetrung/bc25-eda-audio-augmentation-torch",
      "votes": 2
    },
    {
      "ref": "tianyun233/efficientnet-pytorch-my",
      "votes": 0
    },
    {
      "ref": "trtuanq/birdcelf2025-train",
      "votes": 0
    },
    {
      "ref": "adamfarrag/mobilenetv3l-invfocalloss-inference-birdclef",
      "votes": 1
    },
    {
      "ref": "ducle19/bc25-train-efficientnet-b0",
      "votes": 3
    },
    {
      "ref": "nguyndebruyne/t11-birdclef-2025",
      "votes": 0
    },
    {
      "ref": "bunnoob2005/birdclef-25-with-efficientnet-b0",
      "votes": 1
    },
    {
      "ref": "phancngdng/duong-train",
      "votes": 0
    },
    {
      "ref": "vrushabhbidari/efficientnet-b0-pytorch-inference-birdc-b11c79",
      "votes": 1
    },
    {
      "ref": "vtqunh/efficientnet-vit",
      "votes": 13
    },
    {
      "ref": "samasiayushman/ultimate-guide-visualization-statistics",
      "votes": 54
    },
    {
      "ref": "nguynvnln22028281/new-efficientnet-birdclef-25",
      "votes": 0
    },
    {
      "ref": "sietze535/pseudo-label-creator",
      "votes": 29
    },
    {
      "ref": "huandj/notebook-birdcleft",
      "votes": 0
    },
    {
      "ref": "adamfarrag/mobilenetv3l-focalloss-inference-birdcle",
      "votes": 3
    },
    {
      "ref": "haokehan/train-2025-spring",
      "votes": 0
    },
    {
      "ref": "adamfarrag/mobilenetv3l-inv-focalloss-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "quyuet/efficientnet-b0-inference-birdclef-25",
      "votes": 1
    },
    {
      "ref": "quyuet/processing-update-params-birdclef-25",
      "votes": 2
    },
    {
      "ref": "quyuet/notebook4e1c63d589",
      "votes": 0
    },
    {
      "ref": "lequangkhai5122005/bc25-submission",
      "votes": 27
    },
    {
      "ref": "loekie/inference-on-unknown-model",
      "votes": 0
    },
    {
      "ref": "adamfarrag/yamnet-inference-new-classification-head-focalloss",
      "votes": 1
    },
    {
      "ref": "adamfarrag/yamnet-training-new-classification-head-focalloss",
      "votes": 3
    },
    {
      "ref": "sietze535/efficientnet-b0-train-w-pseudo-label",
      "votes": 12
    },
    {
      "ref": "phancngdng/try-quy-code",
      "votes": 0
    },
    {
      "ref": "durlabhshukla/simplecnn",
      "votes": 3
    },
    {
      "ref": "robbynevels/bc25-dataloading-tests",
      "votes": 5
    },
    {
      "ref": "anasshahmurshad/birdclef-data-exploration",
      "votes": 6
    },
    {
      "ref": "lequangkhai5122005/bc25-train-birdclef",
      "votes": 3
    },
    {
      "ref": "palvinder2006/birdclef-submission",
      "votes": 4
    },
    {
      "ref": "palvinder2006/birdclef-training",
      "votes": 13
    },
    {
      "ref": "trtuanq/birdcelf2025",
      "votes": 1
    },
    {
      "ref": "behnazj/avianx-2025",
      "votes": 3
    },
    {
      "ref": "sunderekkiz/fork-of-bird25-onlyinf-v2-s-focallossbce-cv-962-l",
      "votes": 1
    },
    {
      "ref": "taxuanduy/whisper-inference-birdclef-25",
      "votes": 1
    },
    {
      "ref": "hitarthpandey/submission-birdclef",
      "votes": 0
    },
    {
      "ref": "anlozi/bird-25-regnety008",
      "votes": 1
    },
    {
      "ref": "giacomoballarin/birdclef-2025-sample-submission",
      "votes": 0
    },
    {
      "ref": "rasamanil/birdclef-2025-working-part1",
      "votes": 4
    },
    {
      "ref": "plhyai/birdclef-submission-notebook",
      "votes": 8
    },
    {
      "ref": "adamfarrag/mobilenetv3l-pytorch-inference-birdclef-25",
      "votes": 4
    },
    {
      "ref": "demonicv/test-submission",
      "votes": 7
    },
    {
      "ref": "rustambazarbayev/birdclef-2025-complete-analysis",
      "votes": 8
    },
    {
      "ref": "adamfarrag/mobilenetv3l-pytorch-train-birdclef-25",
      "votes": 2
    },
    {
      "ref": "hongvnphi/psuedo-labeling-birdclef-25",
      "votes": 2
    },
    {
      "ref": "adamfarrag/deit-vit-pytorch-inference-birdclef-25",
      "votes": 3
    },
    {
      "ref": "adamfarrag/transforming-audio-to-mel-spec-224-birdclef-25",
      "votes": 0
    },
    {
      "ref": "adamfarrag/deit-vit-pytorch-train-birdclef-25",
      "votes": 2
    },
    {
      "ref": "laithetrung/pseudo-label",
      "votes": 6
    },
    {
      "ref": "yudgnuh/birdclef",
      "votes": 5
    },
    {
      "ref": "parunchaitimklip/birdclef-l-cn240",
      "votes": 2
    },
    {
      "ref": "phonglmnguynduy/train-efficientnet-b0-pl",
      "votes": 3
    },
    {
      "ref": "mnjalab/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 2
    },
    {
      "ref": "mnjalab/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "chicongn/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 4
    },
    {
      "ref": "harukatou/birdclef-2025-train-pipeline",
      "votes": 1
    },
    {
      "ref": "tad161104/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829",
      "votes": 22
    },
    {
      "ref": "nikhilpaleti/efficient-net-b0-eval",
      "votes": 5
    },
    {
      "ref": "nikhilpaleti/birdclef-efficientnetb0-train",
      "votes": 0
    },
    {
      "ref": "shankar0x/main-preprocessor",
      "votes": 0
    },
    {
      "ref": "sarthaksharma083/birdclef-submission",
      "votes": 0
    },
    {
      "ref": "venkateshshukla2023/birdsounddetection",
      "votes": 1
    },
    {
      "ref": "devasypatel23/analyse-poor-performing-classes",
      "votes": 1
    },
    {
      "ref": "laithetrung/data-eda-bc25-compare-processing",
      "votes": 0
    },
    {
      "ref": "duymaingoc/birdclef-2025-s-submission",
      "votes": 0
    },
    {
      "ref": "quang0150/birdclef-training",
      "votes": 1
    },
    {
      "ref": "meteorodaniel/birdclef-inference",
      "votes": 2
    },
    {
      "ref": "dedquoc/birdclef-2025-audio-process-with-samples-evaluatio",
      "votes": 3
    },
    {
      "ref": "binguynhoithng/bc25-submissionwithdb",
      "votes": 3
    },
    {
      "ref": "tomkit11/birdclef-2025-starter-notebook",
      "votes": 34
    },
    {
      "ref": "phonglmnguynduy/train-efficientnet-b0-none-pl",
      "votes": 8
    },
    {
      "ref": "devasypatel23/visualize-samples",
      "votes": 0
    },
    {
      "ref": "andrewf87/bigdata-submission",
      "votes": 0
    },
    {
      "ref": "semverstappen/birdclefml-competition-submission",
      "votes": 8
    },
    {
      "ref": "reshmachandran26/efficientnet-b0-pytorch-train-birdclef-25-midd",
      "votes": 0
    },
    {
      "ref": "kumarandatascientist/bird25-onlyin-lb-834-changed-cfg",
      "votes": 361
    },
    {
      "ref": "behnazj/birdnet-mfcc-cnn",
      "votes": 1
    },
    {
      "ref": "haokehan/try1-2025",
      "votes": 0
    },
    {
      "ref": "haokehan/lb-0-804-efficientnet-b0-pytorch-pipeline",
      "votes": 4
    },
    {
      "ref": "haokehan/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 8
    },
    {
      "ref": "haokehan/birdclef-25-inference-efficientnet",
      "votes": 4
    },
    {
      "ref": "destuser/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829",
      "votes": 1
    },
    {
      "ref": "aa0909600601/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 4
    },
    {
      "ref": "nguynvnln22028281/train-databirdclef",
      "votes": 0
    },
    {
      "ref": "nikhilpaleti/eval-cnn-scratch",
      "votes": 1
    },
    {
      "ref": "shreejithsg/birdclef-grekis",
      "votes": 2
    },
    {
      "ref": "hideyukizushi/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829",
      "votes": 400
    },
    {
      "ref": "dickschaedel/birdclef-2025-v001-global-distribution",
      "votes": 2
    },
    {
      "ref": "sanye233/efficientnet-b0-pytorch-train-1",
      "votes": 0
    },
    {
      "ref": "vrushabhbidari/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "mvidhya123/notebook2ca87e752a",
      "votes": 0
    },
    {
      "ref": "kongyanmiao/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "kongyanmiao/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 3
    },
    {
      "ref": "sunderekkiz/fork-of-efficientnet-b0-pytorch-inference-bird",
      "votes": 66
    },
    {
      "ref": "lohithashwa/regnet-008-15-epochs",
      "votes": 5
    },
    {
      "ref": "therishabhmittal05/birdclef",
      "votes": 5
    },
    {
      "ref": "adamfarrag/yamnet-inference-with-new-classification-head",
      "votes": 2
    },
    {
      "ref": "chen350783/notebook4d356b4d29",
      "votes": 0
    },
    {
      "ref": "haotianyang42/birdclef",
      "votes": 1
    },
    {
      "ref": "nemoingendaa/copy-vision-transformer-pytorch-train-jochem",
      "votes": 0
    },
    {
      "ref": "garystar/efficientnet-b0-pytorch-inference-birdc-356204",
      "votes": 0
    },
    {
      "ref": "wangningfei/efficientnet-b0-pytorch-inference-wang",
      "votes": 2
    },
    {
      "ref": "nemoingendaa/vision-transformer-patch8-inference-nemo",
      "votes": 1
    },
    {
      "ref": "kokoyama/center5s-rms-analysis-birdclef2025",
      "votes": 1
    },
    {
      "ref": "lowen2022/bird-25-regnet",
      "votes": 9
    },
    {
      "ref": "divyaprakashr/birdclef-2025-non-speech-activity-detection",
      "votes": 0
    },
    {
      "ref": "shreejithsg/birdclef-shree-grekis",
      "votes": 2
    },
    {
      "ref": "nihadaslanzade/birdclef-timeoptimized",
      "votes": 0
    },
    {
      "ref": "lizhaoguang/birdclef-25-inference-efficientnet",
      "votes": 14
    },
    {
      "ref": "jiahaoli0423/noise-efficient-test",
      "votes": 3
    },
    {
      "ref": "lizhaoguang/efficientnet-train-birdclef-25",
      "votes": 6
    },
    {
      "ref": "lizhaoguang/audio-to-mel-spec-5s",
      "votes": 1
    },
    {
      "ref": "adamfarrag/yamnet-training-new-classification-head",
      "votes": 3
    },
    {
      "ref": "nypate9999/rdforest",
      "votes": 1
    },
    {
      "ref": "tomkkk/change-secondary-labels-in-train-csv",
      "votes": 22
    },
    {
      "ref": "destuser/wo-rk4",
      "votes": 2
    },
    {
      "ref": "haokehan/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 0
    },
    {
      "ref": "hongkongbaptist/notebook0496142e5d",
      "votes": 1
    },
    {
      "ref": "locnguyen14/birdclef-2025-submission",
      "votes": 2
    },
    {
      "ref": "samvelkoch/biodenoising",
      "votes": 27
    },
    {
      "ref": "trjanhrsehtxmustang/bird-sounds",
      "votes": 2
    },
    {
      "ref": "jingruixu/birdinference",
      "votes": 1
    },
    {
      "ref": "illurin/birdinference",
      "votes": 1
    },
    {
      "ref": "anhtuan23004/birdclef-2025",
      "votes": 2
    },
    {
      "ref": "andrewschroeder42/birdclef-2025-inference",
      "votes": 3
    },
    {
      "ref": "semverstappen/birdclefml-training-validation-script",
      "votes": 6
    },
    {
      "ref": "sinzeglius/birdinference",
      "votes": 3
    },
    {
      "ref": "mengsy5522/birdtrain",
      "votes": 0
    },
    {
      "ref": "oscarsin/birdclef2025-efficientnetb0-5-fold-ensemble-infere",
      "votes": 5
    },
    {
      "ref": "sinzeglius/birdtrain",
      "votes": 3
    },
    {
      "ref": "devasypatel23/using-highpass-filter-to-sieve-out-bird-audio",
      "votes": 0
    },
    {
      "ref": "kowshikahmed/datamining-cup",
      "votes": 0
    },
    {
      "ref": "nyoftrung/data-eda-bc25",
      "votes": 4
    },
    {
      "ref": "kaggle1gyk/train",
      "votes": 3
    },
    {
      "ref": "feliksaltymyshov/birdclef-efficientnet",
      "votes": 1
    },
    {
      "ref": "laithetrung/data-eda-bc25",
      "votes": 3
    },
    {
      "ref": "bachaudhry/birdclef-25-01-exploration-preprocessing",
      "votes": 20
    },
    {
      "ref": "hongkongbaptist/1hewauifhei",
      "votes": 2
    },
    {
      "ref": "zhangyuehan151/notebookf92cb5986c",
      "votes": 0
    },
    {
      "ref": "kirillsemenov1315/baseline-v0-inference",
      "votes": 2
    },
    {
      "ref": "zhangyuehan151/notebook70240566d2",
      "votes": 1
    },
    {
      "ref": "kirillsemenov1315/baseline-v0-train",
      "votes": 8
    },
    {
      "ref": "abdullahalshalabi/notebookbd79487063",
      "votes": 0
    },
    {
      "ref": "dmshumskyi/hw3-audio",
      "votes": 7
    },
    {
      "ref": "gopalkalawate/mlproject-competitionjoin",
      "votes": 1
    },
    {
      "ref": "shionao7/bird-25-submission-regnety008-v1",
      "votes": 270
    },
    {
      "ref": "koushikkumardinda/audio-data-preprocessing-and-feature-extraction",
      "votes": 3
    },
    {
      "ref": "verniy73/birdclef-25-5fold-focal-0411",
      "votes": 2
    },
    {
      "ref": "nguyenquangthinhus/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 29
    },
    {
      "ref": "quan0095/openvino-py-3-11",
      "votes": 5
    },
    {
      "ref": "verniy73/transforming-audio-to-mel-spec-without-human-voice",
      "votes": 27
    },
    {
      "ref": "geykhh/mydataset",
      "votes": 2
    },
    {
      "ref": "geykhh/demo-devoice",
      "votes": 0
    },
    {
      "ref": "paritoshborkar/notebook221abced3a",
      "votes": 2
    },
    {
      "ref": "zhangyuehan151/notebook171357d54e",
      "votes": 1
    },
    {
      "ref": "aminekhammessi/sound-classification",
      "votes": 0
    },
    {
      "ref": "qmarva/hromagram-generation",
      "votes": 11
    },
    {
      "ref": "kazu1998/fork-of-birdclef-25-5fold-focal-random5secondflip2",
      "votes": 3
    },
    {
      "ref": "mariadodonova/birdclef-2025-eda-cv-splits",
      "votes": 1
    },
    {
      "ref": "overvalueawareness/birdclef-2025-ensemblesome",
      "votes": 53
    },
    {
      "ref": "overvalueawareness/bird-25-regnety008-v1-default-v1",
      "votes": 155
    },
    {
      "ref": "abhinavsharma0706/birdclef-2025",
      "votes": 7
    },
    {
      "ref": "abhinavsharma0706/birds",
      "votes": 3
    },
    {
      "ref": "amirjordan23/lb-0-744-effnetb3-justfold4",
      "votes": 8
    },
    {
      "ref": "koushikkumardinda/birdclef-model-development",
      "votes": 0
    },
    {
      "ref": "meteorodaniel/birdclef-2025-pipeline-de-treino",
      "votes": 1
    },
    {
      "ref": "devasypatel23/birdclef-25-eda",
      "votes": 11
    },
    {
      "ref": "hongkongbaptist/alllll",
      "votes": 0
    },
    {
      "ref": "victormuryn/audio-hw3",
      "votes": 12
    },
    {
      "ref": "liu7my/birdclef-2025",
      "votes": 0
    },
    {
      "ref": "everlyte/labels-tta-efficientnet-b0-pytorch-inference",
      "votes": 2
    },
    {
      "ref": "jc39963/birdclef-project",
      "votes": 3
    },
    {
      "ref": "jiahongpi/birdclef20205-hw",
      "votes": 2
    },
    {
      "ref": "jj1nnu/notebook45f724b38e",
      "votes": 0
    },
    {
      "ref": "shanqingying/labels-tta-efficientnet-b0-pytorch-inference",
      "votes": 1
    },
    {
      "ref": "sambui22022517/birdclef-2025-data",
      "votes": 1
    },
    {
      "ref": "sambui22022517/birdclef-2025-data-3",
      "votes": 3
    },
    {
      "ref": "yifanzhao1224/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 3
    },
    {
      "ref": "sonujha090/audio-to-image",
      "votes": 2
    },
    {
      "ref": "acmaitxst/animal-sound-denoising-and-u-net-training",
      "votes": 6
    },
    {
      "ref": "fujiemon/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 2
    },
    {
      "ref": "adedaran/birdclef-2025-classification-audio",
      "votes": 11
    },
    {
      "ref": "midcarryhz/lb-0-784-efficientnet-b0-pytorch-cpu",
      "votes": 103
    },
    {
      "ref": "cauandom/birdclef-2025-nias-ia-equipe-2-cauan-model",
      "votes": 6
    },
    {
      "ref": "codingmaster24/birdclef",
      "votes": 6
    },
    {
      "ref": "bahaaltanreisolu/bird-clf-2",
      "votes": 5
    },
    {
      "ref": "santyagoamaya/colibria",
      "votes": 17
    },
    {
      "ref": "meteorodaniel/birdclef-2025",
      "votes": 2
    },
    {
      "ref": "karthiksk007/bird-classification-inference",
      "votes": 7
    },
    {
      "ref": "hiranorm/lb-0-81-efficientnetv2-b0-pytorch-inference",
      "votes": 139
    },
    {
      "ref": "zhangyuehan151/notebook0bf7a76cf8",
      "votes": 1
    },
    {
      "ref": "meteorodaniel/birdclef-submission",
      "votes": 5
    },
    {
      "ref": "amirjordan23/birdclef-2025-simple-train-single-fold1",
      "votes": 4
    },
    {
      "ref": "danielarmel/birdclef-transformer-train",
      "votes": 10
    },
    {
      "ref": "xiazhijian/birdclef-output-20250328",
      "votes": 12
    },
    {
      "ref": "srinivasta/ensemble-learning-with-test-time-augmentation",
      "votes": 10
    },
    {
      "ref": "rohitdileep/tensorflow-nn-classification",
      "votes": 5
    },
    {
      "ref": "sambui22022517/birdclef-2025-data-0",
      "votes": 1
    },
    {
      "ref": "roeiyehezkel/birdclef-ds-in-industry",
      "votes": 6
    },
    {
      "ref": "carlolepelaars/birdclef-2025-embedding-visualization",
      "votes": 18
    },
    {
      "ref": "vivekgupta1234/birdclef-2025",
      "votes": 1
    },
    {
      "ref": "carlolepelaars/generating-audio-embeddings-with-auditus",
      "votes": 35
    },
    {
      "ref": "sutravedika/birdclef-2025-2",
      "votes": 8
    },
    {
      "ref": "petromozil/birdclef20205-hw",
      "votes": 18
    },
    {
      "ref": "liverpool786/fork-of-lb-0-804-ensemble-of-solutions",
      "votes": 101
    },
    {
      "ref": "arminajdehnia/efficient-spectrogram-storage-using-lmdb",
      "votes": 1
    },
    {
      "ref": "ddbrao11/birdclef-2025",
      "votes": 3
    },
    {
      "ref": "robbynevels/bc25-infer-baseline-gpu",
      "votes": 21
    },
    {
      "ref": "kumarandatascientist/lb-0-804-efficientnet-b0-pytorch-pipeline",
      "votes": 385
    },
    {
      "ref": "robbynevels/bc25-train-specs-signed-db-80-n-16",
      "votes": 4
    },
    {
      "ref": "robbynevels/bc25-train-baseline",
      "votes": 7
    },
    {
      "ref": "hlly34/birdclef2025-inference",
      "votes": 2
    },
    {
      "ref": "amritarajput54/labels-tta-efficientnet-b0-pytorch-inference",
      "votes": 8
    },
    {
      "ref": "potamitis/speech-scanner",
      "votes": 10
    },
    {
      "ref": "noshakeplz/transforming-audio-to-mel-spec-first-5s",
      "votes": 3
    },
    {
      "ref": "salmanahmedtamu/labels-tta-efficientnet-b0-pytorch-inference",
      "votes": 159
    },
    {
      "ref": "aayush26/ideas-birdclef-25",
      "votes": 2
    },
    {
      "ref": "myso1987/birdclef2025-sound-event-visualisations",
      "votes": 531
    },
    {
      "ref": "jordanvigh/notebook7b07bd25a4",
      "votes": 1
    },
    {
      "ref": "robbynevels/dequantization-example-n-16",
      "votes": 7
    },
    {
      "ref": "amritarajput54/fork-of-notebookb9c75bc440-main-now",
      "votes": 10
    },
    {
      "ref": "s230033021/eda-birdclef-2025",
      "votes": 4
    },
    {
      "ref": "arminajdehnia/enhancing-data-quality-region-extraction-noise",
      "votes": 5
    },
    {
      "ref": "amritarajput54/birdclef-2025-solution-eda-deep-learning-lb0-8",
      "votes": 97
    },
    {
      "ref": "arminajdehnia/0-734-on-birdclef-2025-public-lb-with-ecapa-tdnn",
      "votes": 6
    },
    {
      "ref": "shaileshshettyd/tweet-detective-solving-bird-crimes-with-mfcc",
      "votes": 1
    },
    {
      "ref": "fahadalaumodi/fahad-kaggle",
      "votes": 3
    },
    {
      "ref": "aman2626786/birdclef-2025-data-visualization",
      "votes": 1
    },
    {
      "ref": "camillecampbell/bryer-the-singing-notebook",
      "votes": 1
    },
    {
      "ref": "xiaoazuzong/lb-0-778-efficientnet-b0-pytorch-inference",
      "votes": 138
    },
    {
      "ref": "leogordon/notebookefc0c27d87",
      "votes": 6
    },
    {
      "ref": "kumarandatascientist/lb-0-763-efficientnet-b0-pytorch-inference",
      "votes": 23
    },
    {
      "ref": "missideal20/the-one-notebook",
      "votes": 2
    },
    {
      "ref": "sunnyvarnawal/eda-pytorch",
      "votes": 6
    },
    {
      "ref": "tbnguyen/notebook484ad3bdfa",
      "votes": 1
    },
    {
      "ref": "kadircandrisolu/transforming-audio-to-mel-spec-birdclef-25",
      "votes": 457
    },
    {
      "ref": "kadircandrisolu/efficientnet-b0-pytorch-inference-birdclef-25",
      "votes": 712
    },
    {
      "ref": "kadircandrisolu/efficientnet-b0-pytorch-train-birdclef-25",
      "votes": 953
    },
    {
      "ref": "robbynevels/verify-drop-last",
      "votes": 2
    },
    {
      "ref": "agcsdedf/birdclef-2025-openvino-inf",
      "votes": 62
    },
    {
      "ref": "younusmohamed/53-01-complete-eda",
      "votes": 52
    },
    {
      "ref": "carlolepelaars/birdclef-2025-simple-submission",
      "votes": 53
    },
    {
      "ref": "carlolepelaars/birdclef-2025-species-analysis",
      "votes": 17
    },
    {
      "ref": "aissaabdizakaria/zak-try1",
      "votes": 1
    },
    {
      "ref": "chrisk321/birdclef-2025-eda-submission",
      "votes": 10
    },
    {
      "ref": "agcsdedf/birdclef-2025-base-submit",
      "votes": 98
    },
    {
      "ref": "teleportdm/bvc-embedding",
      "votes": 9
    },
    {
      "ref": "kdmitrie/bc25-separation-voice-from-data",
      "votes": 192
    },
    {
      "ref": "robbynevels/bc25-train-specs-db-80-n-16",
      "votes": 6
    },
    {
      "ref": "soyabulislamlincoln/birdclef-2025-viz-and-noise-removal",
      "votes": 6
    },
    {
      "ref": "kdmitrie/bc25-bvc-starter",
      "votes": 111
    },
    {
      "ref": "kdmitrie/bc25-birdnet-starter",
      "votes": 34
    },
    {
      "ref": "jocelyndumlao/birdclef-2025-inference-w-simplecnn-spectrogram",
      "votes": 36
    },
    {
      "ref": "santyagoamaya/colibria-feature-extraction",
      "votes": 8
    },
    {
      "ref": "clehmann10/birdclef-eda-tutorial",
      "votes": 35
    },
    {
      "ref": "robbynevels/bc25-eda",
      "votes": 4
    },
    {
      "ref": "myso1987/birdclef2025-3-submit-baseline-5s",
      "votes": 132
    },
    {
      "ref": "myso1987/birdclef2025-2-train-baseline-5s",
      "votes": 134
    },
    {
      "ref": "myso1987/birdclef2025-1-crop-audio-5s",
      "votes": 59
    },
    {
      "ref": "agcsdedf/birdclef-2025-base-trainer",
      "votes": 24
    },
    {
      "ref": "jocelyndumlao/birdclef-2025-mfcc-feature-roc-auc-analysis",
      "votes": 157
    },
    {
      "ref": "comp8oe/birdclef25-translate-jp",
      "votes": 6
    },
    {
      "ref": "mpwolke/vocal-separation",
      "votes": 39
    },
    {
      "ref": "samvelkoch/birdclef2025-dataprep-melspecs-224x224-10sec",
      "votes": 21
    },
    {
      "ref": "rahuljiwane/notebook-bird-rahul-jiwane",
      "votes": 21
    },
    {
      "ref": "samvelkoch/birdclef2025-dataprep-melspecs-224x224-5sec",
      "votes": 9
    },
    {
      "ref": "stpeteishii/bird-audio-display",
      "votes": 10
    },
    {
      "ref": "rohitdileep/data-preprocessing-librosa",
      "votes": 5
    },
    {
      "ref": "stpeteishii/birdclef-2025-geodata",
      "votes": 11
    },
    {
      "ref": "seshurajup/02-birdset-tutorial-augmentations",
      "votes": 10
    },
    {
      "ref": "seshurajup/03-birdset-fine-tuning-tutorial",
      "votes": 13
    },
    {
      "ref": "seshurajup/01-birdset-data-pipeline-tutorial",
      "votes": 9
    },
    {
      "ref": "mpwolke/birdclef-2025-el-silencio-natural-reserve",
      "votes": 73
    },
    {
      "ref": "kumarandatascientist/lb-0-515-sample-submission",
      "votes": 20
    },
    {
      "ref": "docxian/birdclef-2025-eda-geography",
      "votes": 61
    },
    {
      "ref": "seshurajup/birdclef-2020-2025-all-training-extra-npy-dataset",
      "votes": 85
    },
    {
      "ref": "stefankahl/birdclef-2025-sample-submission",
      "votes": 246
    },
    {
      "ref": "imeintanis/birdclef-interactive-spectrogram-viewer",
      "votes": 45
    },
    {
      "ref": "gopidurgaprasad/audio-augmentation-albumentations",
      "votes": 87
    },
    {
      "ref": "gopidurgaprasad/mfcc-feature-extraction-from-audio",
      "votes": 105
    }
  ]
}