{
  "total": 222,
  "topics": [
    {
      "id": 197744,
      "title": "Looking for a Team Thread",
      "comment_count": 72,
      "views": 0,
      "votes": 22
    },
    {
      "id": 197782,
      "title": "Welcome to the Rainforest Connection challenge!",
      "comment_count": 33,
      "views": 0,
      "votes": 33
    },
    {
      "id": 197743,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 220342,
      "title": "4th place solution (5th public LB)",
      "comment_count": 16,
      "views": 0,
      "votes": 61
    },
    {
      "id": 213065,
      "title": "Tensorflow beginner code for audio classification",
      "comment_count": 18,
      "views": 0,
      "votes": 32
    },
    {
      "id": 217538,
      "title": "Number of mel filterbanks",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220303,
      "title": "Template matching (couldn't get it to work)",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 220386,
      "title": "38 place writeup(image classification on TPU/Colab only with s3 trick)",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 220389,
      "title": "9th Place - Post Process LB 0.926 to LB 0.963!",
      "comment_count": 54,
      "views": 0,
      "votes": 142
    },
    {
      "id": 220760,
      "title": "2nd place solution",
      "comment_count": 40,
      "views": 0,
      "votes": 91
    },
    {
      "id": 220319,
      "title": "10th-place solution - Agnostic loss for semi-supervised learning",
      "comment_count": 14,
      "views": 0,
      "votes": 52
    },
    {
      "id": 220446,
      "title": "#6 Solution 🐼Tropic Thunder🐼 🚫 No hand labels🚫",
      "comment_count": 16,
      "views": 0,
      "votes": 53
    },
    {
      "id": 220563,
      "title": "1st place solution",
      "comment_count": 35,
      "views": 0,
      "votes": 156
    },
    {
      "id": 220304,
      "title": "11th place, The 0.931 Magic Explained: Image Classification",
      "comment_count": 63,
      "views": 0,
      "votes": 98
    },
    {
      "id": 220306,
      "title": "27th place simple solution (0.932 public, 0.940 private) - dl_pipeline",
      "comment_count": 6,
      "views": 0,
      "votes": 26
    },
    {
      "id": 220725,
      "title": "14th Place Solution - Binary Classification on cropped frequency x time",
      "comment_count": 8,
      "views": 0,
      "votes": 19
    },
    {
      "id": 228888,
      "title": "TPU Stars!",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220436,
      "title": "21st place solution - FP co-teaching with loss improvements",
      "comment_count": 4,
      "views": 0,
      "votes": 22
    },
    {
      "id": 220765,
      "title": "Many mistakes, no regrets",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 224823,
      "title": "Who won the TPU Star prizes?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 224040,
      "title": "Competition review meetup March 13th 2021",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 225106,
      "title": "Hello , how can i add a member to my team ? and thanks a lot",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 199126,
      "title": "Will species names be released after competition end?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 220339,
      "title": "Top Solutions and Approaches: Rainforest Audio Detection",
      "comment_count": 27,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220522,
      "title": "3rd Place Solution",
      "comment_count": 22,
      "views": 0,
      "votes": 61
    },
    {
      "id": 220972,
      "title": "23rd Place Solution: Supervised Contrastive Learning Meets Domain Generalization (with TF code)",
      "comment_count": 4,
      "views": 0,
      "votes": 29
    },
    {
      "id": 220322,
      "title": "32nd place solution - what worked for me",
      "comment_count": 14,
      "views": 0,
      "votes": 21
    },
    {
      "id": 220315,
      "title": "My First Competition Medal (Top %7)",
      "comment_count": 17,
      "views": 0,
      "votes": 31
    },
    {
      "id": 220305,
      "title": "Wave App for Soundscape Annotation & Best Single Model (0.956)",
      "comment_count": 16,
      "views": 0,
      "votes": 61
    },
    {
      "id": 220981,
      "title": "#6 Solution 🐼Tropic Thunder🐼 (journey and ensembling schemes)",
      "comment_count": 4,
      "views": 0,
      "votes": 19
    },
    {
      "id": 220335,
      "title": "43rd place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 33
    },
    {
      "id": 220578,
      "title": "Thanks Julia!",
      "comment_count": 22,
      "views": 0,
      "votes": 26
    },
    {
      "id": 220432,
      "title": "5th place solution (Training Strategy)",
      "comment_count": 14,
      "views": 0,
      "votes": 40
    },
    {
      "id": 220379,
      "title": "post competition collaboration?",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220450,
      "title": "17th place solution",
      "comment_count": 15,
      "views": 0,
      "votes": 34
    },
    {
      "id": 208126,
      "title": "How to include false positives examples in a multi-class classification task in practice? ",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220443,
      "title": "7th place solution - Beluga & Peter",
      "comment_count": 9,
      "views": 0,
      "votes": 43
    },
    {
      "id": 220308,
      "title": "13th Place Solution – Mean Co-Teachers and Noisy Students",
      "comment_count": 11,
      "views": 0,
      "votes": 42
    },
    {
      "id": 220309,
      "title": "[completed] rank 19th solution in 13 days - LB 0.937/0.939 (public/private) 5 fold model",
      "comment_count": 9,
      "views": 0,
      "votes": 51
    },
    {
      "id": 219613,
      "title": "I've already ordered pizza and popcorn for reading the top solutions :)",
      "comment_count": 36,
      "views": 0,
      "votes": 30
    },
    {
      "id": 221070,
      "title": "UP-DETR: Unsupervised Pre-training for Object Detection with Transformers",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 220803,
      "title": "8th Place solution ",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 221938,
      "title": "What about the simplest solution with 90+% LB/PB performance?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 221357,
      "title": "Comparative Method [LB 0.984]",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220753,
      "title": "33rd place solution - SED model",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 220458,
      "title": "My First Competition Medal (Top 7%)",
      "comment_count": 11,
      "views": 0,
      "votes": 10
    },
    {
      "id": 219888,
      "title": "How frog actually sound like",
      "comment_count": 7,
      "views": 0,
      "votes": 18
    },
    {
      "id": 220314,
      "title": "s3 class postprocessing (+0.008 on private LB)",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 220949,
      "title": "What were the top learnings from this competition?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220316,
      "title": "I Wanna Thank Me (meme)",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220390,
      "title": "Thx Again!!",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220290,
      "title": "Tropical meme",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 217638,
      "title": "Has anyone tired pseudo labelling ?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 217000,
      "title": "Glitter and poverty of cheating investigation",
      "comment_count": 42,
      "views": 0,
      "votes": 19
    },
    {
      "id": 220090,
      "title": "All the best!",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 220302,
      "title": "Visualizing predictions over time",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 219287,
      "title": "Shakeup expectations?",
      "comment_count": 24,
      "views": 0,
      "votes": 2
    },
    {
      "id": 219560,
      "title": "[Resolved] mean of predictions-submission?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 218939,
      "title": "Bug in \"Mean Teachers Find More Birds 🐦\" ",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 217541,
      "title": "FYI: negative learning",
      "comment_count": 5,
      "views": 0,
      "votes": 39
    },
    {
      "id": 220243,
      "title": "TPU Stars: Call for Nominations!",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 218965,
      "title": "Why did my public notebook fall from the top of the list to the end?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 218930,
      "title": "tfa.image.cutout replacement for SpecAugment",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 218926,
      "title": "Spectrogram Viewer",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 218352,
      "title": "Last week tips, suggestions and advice!",
      "comment_count": 8,
      "views": 0,
      "votes": -7
    },
    {
      "id": 219317,
      "title": "Inference time limit?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 217955,
      "title": " There are between 4 and 5 songs per recording on average",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 217460,
      "title": "Yet another way to crop audio with Tensorflow",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 212610,
      "title": "Probably no leak",
      "comment_count": 35,
      "views": 0,
      "votes": 66
    },
    {
      "id": 217301,
      "title": "How to get the accuracy of 0.856 by changing 2 values ​​in the public notebook :-)",
      "comment_count": 16,
      "views": 0,
      "votes": 6
    },
    {
      "id": 219012,
      "title": "How do you impute a missing category column",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 214676,
      "title": "Blending/ensembling/stacking methods for label-weighted label-ranking average precision",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 218084,
      "title": " Use colab, or save 3-6 h GPU or 2 h TPU on model training.",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 216003,
      "title": "Is it Private Sharing? vol 2",
      "comment_count": 41,
      "views": 0,
      "votes": 25
    },
    {
      "id": 216408,
      "title": "curious about this error (previously working) - NOW FIXED",
      "comment_count": 15,
      "views": 0,
      "votes": 9
    },
    {
      "id": 215441,
      "title": "Summary of 280+ attempts.",
      "comment_count": 10,
      "views": 0,
      "votes": 32
    },
    {
      "id": 216918,
      "title": "Why 1 model with 24 classes instead of 24 models with 2 classes each?",
      "comment_count": 10,
      "views": 0,
      "votes": 7
    },
    {
      "id": 218146,
      "title": "A question about submission eligibility",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208830,
      "title": "Methods that worked / did not work.",
      "comment_count": 73,
      "views": 0,
      "votes": 102
    },
    {
      "id": 216564,
      "title": "Audio Cropping is critical",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 217782,
      "title": "Same Code but Very Different Score on Local GPU vs. Colab",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 213418,
      "title": "Help needed in understanding the PANNs SED arch",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 217914,
      "title": "label smoothing",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 216637,
      "title": "Most difficult class",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 216862,
      "title": "Why do the predictions contain negative values ?",
      "comment_count": 18,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215808,
      "title": "Is it Private Sharing?",
      "comment_count": 30,
      "views": 0,
      "votes": 49
    },
    {
      "id": 216661,
      "title": "Does raw audio augmentation work for you?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 217689,
      "title": "GPU not being assigned before restart",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 217166,
      "title": "Beginner Question: How to Apply my Model to the Test Data",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 217408,
      "title": "Some mel-spectrogram augmentations",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 217016,
      "title": "To the organizers and all those who solved the problem",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 216596,
      "title": "No luck in LB",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 216801,
      "title": "Issues when trying to run on TPU",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 216870,
      "title": "Which metric are you using?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 211007,
      "title": "How to use SED",
      "comment_count": 49,
      "views": 0,
      "votes": 131
    },
    {
      "id": 198418,
      "title": "Correct Metric in Pytorch: LWLRAP",
      "comment_count": 19,
      "views": 0,
      "votes": 60
    },
    {
      "id": 216431,
      "title": "UnavailableError: 4 root error(s) found.",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 216436,
      "title": " Convolution-augmented Transformer for Species Audio Detection",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 215233,
      "title": "Improper validation procedure (and how to fix it)",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 214508,
      "title": "Object Detection as augmentation",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 214828,
      "title": "Create public notebooks, they can also help you!",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 213075,
      "title": "BCE Focal Loss for Pytorch",
      "comment_count": 9,
      "views": 0,
      "votes": 77
    },
    {
      "id": 209040,
      "title": "This is a missing label.",
      "comment_count": 7,
      "views": 0,
      "votes": 23
    },
    {
      "id": 215282,
      "title": "Understanding what to use False positives data for ??",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214019,
      "title": "Denoised Spectrograms Dataset",
      "comment_count": 10,
      "views": 0,
      "votes": 32
    },
    {
      "id": 215955,
      "title": "joblib in kaggle kernel is so slow",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 213376,
      "title": "Inference for PANNs (LB vs CV)",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214095,
      "title": "Has anyone tried quadratic models?",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 213690,
      "title": "Is there a way to get the public LB history of an ongoing competition?",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 215549,
      "title": "Kaggle Kernel Problem: Are you still there? Kernel stops running",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 209954,
      "title": "Full data not getting download kaggle",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214862,
      "title": "[Q] Clarification what to submit / Test files",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 214882,
      "title": "Anyone else been running into this recently?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209041,
      "title": "Is a larger model unnecessary?",
      "comment_count": 16,
      "views": 0,
      "votes": 40
    },
    {
      "id": 214161,
      "title": "Using Audio Data Augmentations and Simplifying Architectures to Prevent Overfitting is the key !",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 208990,
      "title": "Which metric to use for saving the models?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212978,
      "title": "FocalLoss or BCELoss? (share my FocalLoss pytorch version)",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 214392,
      "title": "NB Crashing on inference",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 213867,
      "title": "Denoise data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 212906,
      "title": "How to Combine 5 fold CV model for this comp ?  I am getting worse result after combining folds",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 213861,
      "title": "Choosing a clip_size. But what lies there?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 212863,
      "title": "How to predict on test data ?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 212399,
      "title": "Resampling audio : 32khz and 16khz",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 212638,
      "title": "Best practices for creating spectrograms?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 212201,
      "title": "SOFT-DTW Consideration",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 202456,
      "title": "BBoxes on Time and Frequency - Are [t_min, t_max, f_min, f_max] Always Correct?",
      "comment_count": 13,
      "views": 0,
      "votes": 37
    },
    {
      "id": 211816,
      "title": "need some help",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209684,
      "title": "Why are CV and LB different?",
      "comment_count": 7,
      "views": 0,
      "votes": 30
    },
    {
      "id": 197735,
      "title": "Why are the actual species hidden?",
      "comment_count": 15,
      "views": 0,
      "votes": 25
    },
    {
      "id": 211585,
      "title": "How do I crop a spectrogram/MFCC",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207622,
      "title": "Faster inference with precomputed MFCCs",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 197827,
      "title": "Let's talk about some fundamentals before modelling",
      "comment_count": 8,
      "views": 0,
      "votes": 18
    },
    {
      "id": 208798,
      "title": "Different colormaps for same values in a spectrogram",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 199619,
      "title": "🐤🦆 🦅🐸 Extensive Resource Compilation for Audio Data ",
      "comment_count": 10,
      "views": 0,
      "votes": 84
    },
    {
      "id": 207624,
      "title": "Smart RFCX audio cropping",
      "comment_count": 3,
      "views": 0,
      "votes": 34
    },
    {
      "id": 210875,
      "title": "[New Training] EfficientNetB2 on TPU",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 200922,
      "title": "Best way to crop audio",
      "comment_count": 11,
      "views": 0,
      "votes": 23
    },
    {
      "id": 206250,
      "title": "Explaining the competition metric",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 210160,
      "title": "A notebook that can be run on kaggle and Google Colab(On Google Colab you can use TPU for free!)",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 209206,
      "title": "Precomputing audio files vs Data Augmentation on the fly",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 201920,
      "title": "Have anyone observed instability between CV and LB?",
      "comment_count": 21,
      "views": 0,
      "votes": 32
    },
    {
      "id": 210525,
      "title": "Upload submission",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 210152,
      "title": "[Experimental] Different Learning Rate Schedulers",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 209868,
      "title": "Colab is so slow?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 209844,
      "title": "What are the flac files and how do they relate to tfrecord files?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 197737,
      "title": "Previous Audio Competitions",
      "comment_count": 6,
      "views": 0,
      "votes": 88
    },
    {
      "id": 208577,
      "title": "SoliSet, are you guys going to merge?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 200757,
      "title": "Understanding the Evaluation Metric: Label Weighted LRAP",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 198048,
      "title": "[Starter Datasets] Pre-computed Spectrograms for Faster Training & Inference",
      "comment_count": 8,
      "views": 0,
      "votes": 59
    },
    {
      "id": 197751,
      "title": "Frogs and birds sounds in nature: research, resources and more",
      "comment_count": 1,
      "views": 0,
      "votes": 19
    },
    {
      "id": 206551,
      "title": "Need help, big gap between local and LB",
      "comment_count": 18,
      "views": 0,
      "votes": 6
    },
    {
      "id": 209073,
      "title": "Best Audio Classification models",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 197805,
      "title": "COLA: Contrastive learning of general purpose audio representations",
      "comment_count": 6,
      "views": 0,
      "votes": 38
    },
    {
      "id": 207901,
      "title": "Competition Update",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 208617,
      "title": "tensorflow-io package installation issue",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206980,
      "title": "Is this what is going on with TP, FP and the test set?",
      "comment_count": 3,
      "views": 0,
      "votes": 24
    },
    {
      "id": 207379,
      "title": "Is the private leaderboard accessible? (same topic as RANZCR)",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 208008,
      "title": "Score of 0.99 on validation data",
      "comment_count": 1,
      "views": 0,
      "votes": -7
    },
    {
      "id": 197741,
      "title": "In case you are missing working from the office",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 207492,
      "title": "Past competitions and solutions",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 207851,
      "title": "Experiments with new optimizers?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 202755,
      "title": "sample rate flac and wav (tfrecord)",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 204765,
      "title": "Two bugs in 2 weeks іn this competition:-)",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201809,
      "title": "🐧 🐦🦉 🦇 Tensorflow-io -Audio Augmentation and data preparation",
      "comment_count": 3,
      "views": 0,
      "votes": 25
    },
    {
      "id": 202677,
      "title": "What are the names of 24 birds?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206393,
      "title": "What is my model seeing? Class Activation Mapping",
      "comment_count": 1,
      "views": 0,
      "votes": 21
    },
    {
      "id": 207028,
      "title": "Wav2vec 2.0",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206012,
      "title": "What is the meaning of true positive and false positive here? (found several contradictions)",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 205571,
      "title": "What about using the sound data directly?",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 205856,
      "title": "Xgboost nan outputs",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 206132,
      "title": "Wait... Why do we have so many test files?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198132,
      "title": "Best Single Model CV-LB",
      "comment_count": 31,
      "views": 0,
      "votes": 46
    },
    {
      "id": 206138,
      "title": "What is your validation scheme?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 197834,
      "title": "[Understand] Label-weighted label-ranking average precision.",
      "comment_count": 2,
      "views": 0,
      "votes": 23
    },
    {
      "id": 203394,
      "title": "Datasets for colab users",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 205413,
      "title": "How can we use the FPs list?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 205225,
      "title": "LRAP with an example",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 205613,
      "title": "Why not include isolated samples of each species' songs?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 203498,
      "title": "Is there anyone using FPs?",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 201429,
      "title": "What is songtype? ",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 203166,
      "title": "Averaging submissions ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 203319,
      "title": "Samples that are different from other",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201377,
      "title": "RNN models",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 203351,
      "title": "GPU/TPU accelerated Mel-spectrogram transformation",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 197892,
      "title": "My understanding  of 'train_tp.csv' and 'train_fp.csv' . Am I correct ? Please Clarify .",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 202869,
      "title": "Coming soon shake-up with a public notebook",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 202217,
      "title": "Set Window Size per Class",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 202523,
      "title": "Audio processing by using nnAudio",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 202065,
      "title": "Data Augmentation Question - Channel Wise or Globally",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 202524,
      "title": "RFCX RNNoise Wrapper",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201000,
      "title": "Data Transformations",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 201827,
      "title": "Test window size for mel specs",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 201929,
      "title": "[Datasets] Megathread for Datasets for faster training/inference",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 201541,
      "title": "RAM Overflow",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 197740,
      "title": "Research Papers and Previous works Placeholder",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 198371,
      "title": "Load&Resample audio can be accelerated via torchaudio",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 201129,
      "title": "Analyzing and processing the features in frequency domain only, but why?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 201046,
      "title": "But what is songtype_id? What does it represent?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 197750,
      "title": "How to deal with audio detection ?",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 199048,
      "title": "Beginner Help",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 200562,
      "title": "train_fp purpose",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 200430,
      "title": "Question about training data",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 197755,
      "title": "Songtype_id?",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 198315,
      "title": "new to Machine learning. ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199501,
      "title": "Legal to edit train_tp.csv?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199025,
      "title": "[Starter Datasets] - True Positive + False Positive Spectrograms.",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 199926,
      "title": "Programming language and computation time",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199766,
      "title": "Noob Questions",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 197939,
      "title": "Audio file analysis basics frequencies, magnitude, time, FFT etc...",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 199325,
      "title": "code requirements",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 197910,
      "title": "Shouldn't this be a \"Code Competition\" ?",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 197923,
      "title": "Could the test set be easily probed ?",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 197874,
      "title": "Papers on Soundscapes and Animal Sound detection",
      "comment_count": 0,
      "views": 0,
      "votes": 24
    },
    {
      "id": 197873,
      "title": "Cornell Birdcall Identification - top rank notebooks and discussions",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 197713,
      "title": "test_fp.csv or train_fp.csv?",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 198235,
      "title": "In the submission, has the output score to be normalized? i.e. sum to 1?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 197731,
      "title": "Unofficial External Data/Pre-Trained Models Disclosure Thread",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 197714,
      "title": "404 trying to download data",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 197749,
      "title": "Tfrecord - Label info",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 197754,
      "title": "Evaluation Metric: Label ranking average precision",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 197893,
      "title": "understanding the dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 197932,
      "title": "Wavelet Scattering Transform (Kymat.io)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}