{
  "total": 862,
  "topics": [
    {
      "id": 175313,
      "title": "Congratulations: With/Without Context Special Prize Winners!",
      "comment_count": 12,
      "views": 0,
      "votes": 6
    },
    {
      "id": 161943,
      "title": "True duplicates in this dataset",
      "comment_count": 19,
      "views": 0,
      "votes": 65
    },
    {
      "id": 154271,
      "title": "Welcome!",
      "comment_count": 34,
      "views": 0,
      "votes": 15
    },
    {
      "id": 543294,
      "title": "How to check if I'm overfitting",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 173639,
      "title": "Thank you Kagglers - 1st Place Datasets, 1st Notebooks, 1st Discussions",
      "comment_count": 360,
      "views": 0,
      "votes": 840
    },
    {
      "id": 165653,
      "title": "For AUC Metric, Ensemble using Power Averaging",
      "comment_count": 20,
      "views": 0,
      "votes": 114
    },
    {
      "id": 160147,
      "title": "CNN Input Size Explained",
      "comment_count": 200,
      "views": 0,
      "votes": 508
    },
    {
      "id": 362034,
      "title": "Research article on this topic",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 175633,
      "title": "3rd place solution overview",
      "comment_count": 42,
      "views": 0,
      "votes": 122
    },
    {
      "id": 171726,
      "title": "1st Bangladeshi Notebook GrandMaster",
      "comment_count": 76,
      "views": 0,
      "votes": 87
    },
    {
      "id": 175412,
      "title": "1st place solution",
      "comment_count": 151,
      "views": 0,
      "votes": 384
    },
    {
      "id": 175614,
      "title": "How To CV and How To Ensemble OOF Files",
      "comment_count": 89,
      "views": 0,
      "votes": 360
    },
    {
      "id": 165526,
      "title": "Triple Stratified Leak-Free KFold CV",
      "comment_count": 149,
      "views": 0,
      "votes": 384
    },
    {
      "id": 175846,
      "title": " Justification and 4th place Solution Overview",
      "comment_count": 14,
      "views": 0,
      "votes": 21
    },
    {
      "id": 175352,
      "title": "27th overview - I Survived the massive shakedown and be in the top 1%",
      "comment_count": 20,
      "views": 0,
      "votes": 29
    },
    {
      "id": 175344,
      "title": "21st Public - 53rd Private - Trust Your CV",
      "comment_count": 99,
      "views": 0,
      "votes": 195
    },
    {
      "id": 376861,
      "title": "model.fit Error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 165582,
      "title": "Body Hair Remove with Open-CV",
      "comment_count": 10,
      "views": 0,
      "votes": 53
    },
    {
      "id": 171519,
      "title": "Awesome GAN for Medical Imaging",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 161497,
      "title": "Distribution of test data 2%-3% (0.970)",
      "comment_count": 23,
      "views": 0,
      "votes": 71
    },
    {
      "id": 156245,
      "title": "TFRecords 512x512 External Data, Train, Test, with Meta ",
      "comment_count": 34,
      "views": 0,
      "votes": 55
    },
    {
      "id": 154859,
      "title": "DullRazor algorithm to remove hair occlusions",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 335417,
      "title": "Great Dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 156282,
      "title": "beyond augmentation:   Supervised Contrastive Learning",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 158829,
      "title": "Interactive 3D data visualization with UMAP on RGB histograms with Fisher metric",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 163481,
      "title": "GPU not being used",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173178,
      "title": "Memory Leak ??",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 294751,
      "title": "how downloading  full data set from kaggle to colab ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 284567,
      "title": "True test labels",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 159176,
      "title": "Advanced hair augmentation",
      "comment_count": 30,
      "views": 0,
      "votes": 130
    },
    {
      "id": 175324,
      "title": "[2nd place] Solution Overview",
      "comment_count": 79,
      "views": 0,
      "votes": 225
    },
    {
      "id": 155859,
      "title": "[Merge External Data]",
      "comment_count": 25,
      "views": 0,
      "votes": 74
    },
    {
      "id": 233799,
      "title": "the approach about the PH2 datasets",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 172892,
      "title": "Why do people care about balancing classes?",
      "comment_count": 77,
      "views": 0,
      "votes": 52
    },
    {
      "id": 161446,
      "title": "How To Compete with GPU/TPU",
      "comment_count": 35,
      "views": 0,
      "votes": 71
    },
    {
      "id": 162486,
      "title": "Feature Extraction + Grouping by Patient id + Insights +KNN and CNN+Android Deployment",
      "comment_count": 11,
      "views": 0,
      "votes": 22
    },
    {
      "id": 163425,
      "title": "SHAP model explainability for Melanoma classification",
      "comment_count": 24,
      "views": 0,
      "votes": 29
    },
    {
      "id": 212635,
      "title": "Imbalanced techniques",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 174174,
      "title": "KaggleDatasets().get_gcs_path() on colab",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210975,
      "title": " A computer vision based healthcare application - inspired by Kaggle",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 210505,
      "title": "TPU UnimplementedError",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 175361,
      "title": "My 23rd Place Aprroach",
      "comment_count": 22,
      "views": 0,
      "votes": 49
    },
    {
      "id": 175624,
      "title": "11th Place Solution Writeup",
      "comment_count": 16,
      "views": 0,
      "votes": 37
    },
    {
      "id": 205371,
      "title": "Choosing ensemble techniques!",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 202574,
      "title": "Live challenge",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 176305,
      "title": "My first Bronze medal",
      "comment_count": 12,
      "views": 0,
      "votes": 26
    },
    {
      "id": 163270,
      "title": "Unable to parse tensor proto(struggling from 2 days)",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 177726,
      "title": "1st Place Solution Full Code Released",
      "comment_count": 21,
      "views": 0,
      "votes": 77
    },
    {
      "id": 169721,
      "title": "Coarse Dropout and Cutout Augmentation GPU/TPU",
      "comment_count": 87,
      "views": 0,
      "votes": 114
    },
    {
      "id": 172882,
      "title": "Tips for fine tuning EfficientNet",
      "comment_count": 15,
      "views": 0,
      "votes": 36
    },
    {
      "id": 177563,
      "title": "[2nd Place] Source Code",
      "comment_count": 8,
      "views": 0,
      "votes": 34
    },
    {
      "id": 164357,
      "title": "Values >1 after sigmoid ",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 160611,
      "title": "A simple trick worth trying to optimize AUC score",
      "comment_count": 17,
      "views": 0,
      "votes": 47
    },
    {
      "id": 175450,
      "title": "126th Place Solution",
      "comment_count": 10,
      "views": 0,
      "votes": 28
    },
    {
      "id": 175843,
      "title": "222th Place Solution: Correlation CV vs Public LB 0.16, vs Private LB 0.73",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 193585,
      "title": "Grandmaster Series – How to Build a World-Class ML Model for Melanoma Detection",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 167465,
      "title": "About my ensembles",
      "comment_count": 4,
      "views": 0,
      "votes": 29
    },
    {
      "id": 173733,
      "title": "Smoothed Cross Entropy Loss for Pytorch",
      "comment_count": 6,
      "views": 0,
      "votes": 43
    },
    {
      "id": 171838,
      "title": "Why don't remove those deleted accounts from leaderboard??",
      "comment_count": 16,
      "views": 0,
      "votes": 22
    },
    {
      "id": 181274,
      "title": "How to combine meta features with Images?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 186023,
      "title": "Join me in congratulating the TPU Stars!",
      "comment_count": 6,
      "views": 0,
      "votes": 30
    },
    {
      "id": 173228,
      "title": "TPU compilation failed....",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 177111,
      "title": "Call for Manuscripts!",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 172453,
      "title": "AUROC vs AUC of Precision-Recall Curve as Evaluation Metric",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 185964,
      "title": "H5 File ?????",
      "comment_count": 2,
      "views": 0,
      "votes": -3
    },
    {
      "id": 174019,
      "title": "FailedPreconditionError: SharedMemoryAddress expired  in Colab",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 181830,
      "title": "27th place solution - 2nd with context prize (edited)",
      "comment_count": 1,
      "views": 0,
      "votes": 34
    },
    {
      "id": 165153,
      "title": "Multi-class classification with focal loss for imbalanced datasets",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 175455,
      "title": "Collection of Solutions",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 175403,
      "title": "16 Place Solution",
      "comment_count": 52,
      "views": 0,
      "votes": 59
    },
    {
      "id": 181485,
      "title": "###my results for this Competition (SIIM-ISIC Melanoma Classification)###",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 175156,
      "title": "Evidence regarding private sharing",
      "comment_count": 264,
      "views": 0,
      "votes": 341
    },
    {
      "id": 179255,
      "title": "qst can any one tell me why im getting this problem with the f1 score ?????",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 177924,
      "title": "40th Place Summary - In Chris and CV we trust",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 178213,
      "title": "Summary from different good solutions of SIIM ",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 174635,
      "title": "Some weird phenomenon again.",
      "comment_count": 177,
      "views": 0,
      "votes": 123
    },
    {
      "id": 175369,
      "title": "Learnings of a First Time Participant",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 175500,
      "title": "Ugly Duckling: Did Anything Work?",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 176272,
      "title": "Any of the top teams used cloud only (free) resources ?",
      "comment_count": 19,
      "views": 0,
      "votes": 6
    },
    {
      "id": 175891,
      "title": "TF vs Pyorch mystery solved",
      "comment_count": 43,
      "views": 0,
      "votes": 29
    },
    {
      "id": 176154,
      "title": "6th Place Write-Up",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 175573,
      "title": "Won my First Solo Silver Medal",
      "comment_count": 33,
      "views": 0,
      "votes": 43
    },
    {
      "id": 163884,
      "title": "Using TPU's on Pytorch",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177795,
      "title": "Leaderboard  still  changing ?!",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175391,
      "title": "12th Place unexpected result",
      "comment_count": 20,
      "views": 0,
      "votes": 52
    },
    {
      "id": 174630,
      "title": "Date block Number",
      "comment_count": 7,
      "views": 0,
      "votes": -8
    },
    {
      "id": 176382,
      "title": "Report of 408 submissions!",
      "comment_count": 21,
      "views": 0,
      "votes": 23
    },
    {
      "id": 175339,
      "title": "Did we lost $30,000, I can't believe my eyes",
      "comment_count": 14,
      "views": 0,
      "votes": 34
    },
    {
      "id": 175765,
      "title": "12th place solution",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 175504,
      "title": "1st Place Solution Code (Small ver.) Released!",
      "comment_count": 16,
      "views": 0,
      "votes": 50
    },
    {
      "id": 177818,
      "title": "Cutmix in Tensorflow 2.x",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175655,
      "title": "85th description - random label smoothing",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 175312,
      "title": "Private Leaderboard FINAL",
      "comment_count": 33,
      "views": 0,
      "votes": 53
    },
    {
      "id": 176511,
      "title": "Explanation of Our 8TTA (get_trans)",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 176338,
      "title": "24th place solution and my way to get it ",
      "comment_count": 11,
      "views": 0,
      "votes": 18
    },
    {
      "id": 175559,
      "title": "LB probing: our insights into the test data",
      "comment_count": 7,
      "views": 0,
      "votes": 38
    },
    {
      "id": 175781,
      "title": "Stacking on meta-data including Ensembling and Pseudo Labeling",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 175362,
      "title": "Congratulations x2 to Ajibesh Mohapatra",
      "comment_count": 30,
      "views": 0,
      "votes": 72
    },
    {
      "id": 175594,
      "title": "Clean out has begun???",
      "comment_count": 28,
      "views": 0,
      "votes": 26
    },
    {
      "id": 175318,
      "title": "I said it: high score public kernels are dangerous",
      "comment_count": 32,
      "views": 0,
      "votes": 33
    },
    {
      "id": 176930,
      "title": "For those who start image classification!",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 176270,
      "title": "Unsupervised Detection and Stacking (10th Public / 101st Private) (Kha Vo's view)",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 175595,
      "title": "What was the point?",
      "comment_count": 14,
      "views": 0,
      "votes": 31
    },
    {
      "id": 175618,
      "title": "Our best private solution (0.9498) [not selected]",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 175366,
      "title": "Our CV 0.95999 Ensemble Wins!",
      "comment_count": 18,
      "views": 0,
      "votes": 68
    },
    {
      "id": 176088,
      "title": "Every heartbreak will be a lesson",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 175466,
      "title": "For what it's worth: 10 public / 101 private (silver)",
      "comment_count": 19,
      "views": 0,
      "votes": 39
    },
    {
      "id": 175354,
      "title": "Public Kernels Ensemble. ",
      "comment_count": 27,
      "views": 0,
      "votes": 16
    },
    {
      "id": 175538,
      "title": "[Summary] Public 11 Private 23 and Congrats to a new Master",
      "comment_count": 8,
      "views": 0,
      "votes": 30
    },
    {
      "id": 175334,
      "title": "241st place (bronze) solution (+ GitHub) with batch sampling",
      "comment_count": 18,
      "views": 0,
      "votes": 21
    },
    {
      "id": 176484,
      "title": "1868th place in 1st competition! ",
      "comment_count": 1,
      "views": 0,
      "votes": -12
    },
    {
      "id": 175628,
      "title": "The full list of bots on the LB",
      "comment_count": 7,
      "views": 0,
      "votes": 18
    },
    {
      "id": 175338,
      "title": "A tribute to Sir Chris Deotte",
      "comment_count": 16,
      "views": 0,
      "votes": 62
    },
    {
      "id": 175825,
      "title": "1st Place Best Model & Inference Code Released!",
      "comment_count": 2,
      "views": 0,
      "votes": 26
    },
    {
      "id": 175410,
      "title": "24th Place Solution",
      "comment_count": 14,
      "views": 0,
      "votes": 25
    },
    {
      "id": 175575,
      "title": "7th Place Solution(Short ver.)",
      "comment_count": 10,
      "views": 0,
      "votes": 18
    },
    {
      "id": 175023,
      "title": "Good Luck Everyone!",
      "comment_count": 42,
      "views": 0,
      "votes": 46
    },
    {
      "id": 175396,
      "title": "what to do after competition?",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 175721,
      "title": "254th Place Solution",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 175493,
      "title": "What a shake up !",
      "comment_count": 2,
      "views": 0,
      "votes": 26
    },
    {
      "id": 175394,
      "title": "CV is all you need!!! 1044 Public to 75 Private (0.953 CV)",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 175329,
      "title": "Missed Opportunity - 4th place - Solo Gold ",
      "comment_count": 21,
      "views": 0,
      "votes": 9
    },
    {
      "id": 169139,
      "title": "How To Upsample Malignant - TFRecords - JPEGs ",
      "comment_count": 138,
      "views": 0,
      "votes": 185
    },
    {
      "id": 175486,
      "title": "157th place solution",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 176489,
      "title": "Learnings from a solo silver medalist entering in the last 2 weeks",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175729,
      "title": "Not a ground-breaking idea, just one way to keep track of experiments.",
      "comment_count": 15,
      "views": 0,
      "votes": 14
    },
    {
      "id": 175365,
      "title": "Kagglers acting like overfitting hyperparameter search",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 174920,
      "title": "Where is the warning banner for notebooks?",
      "comment_count": 44,
      "views": 0,
      "votes": 44
    },
    {
      "id": 175295,
      "title": "Lots of Heat on LB",
      "comment_count": 23,
      "views": 0,
      "votes": 37
    },
    {
      "id": 177044,
      "title": "My PyTorch training code",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175440,
      "title": "Thanks Chris Deotte!!!",
      "comment_count": 2,
      "views": 0,
      "votes": 20
    },
    {
      "id": 175448,
      "title": "I failed to choose the best one but I've learned!",
      "comment_count": 19,
      "views": 0,
      "votes": 14
    },
    {
      "id": 175521,
      "title": "Just a reminder of removal all the suspects.",
      "comment_count": 6,
      "views": 0,
      "votes": 20
    },
    {
      "id": 175409,
      "title": "I didn't choose a 0.939 submission :( ",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 174729,
      "title": "Does anyone else wish more competitions were single model only?",
      "comment_count": 20,
      "views": 0,
      "votes": 53
    },
    {
      "id": 175587,
      "title": "LB gets cleaned up?",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 175331,
      "title": "0.9500 Any touched? ",
      "comment_count": 8,
      "views": 0,
      "votes": 18
    },
    {
      "id": 175744,
      "title": "176th Place Write-up",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 175418,
      "title": "Pseudo labelling: What worked and what didn't?",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 176807,
      "title": "Dataset Content",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 176052,
      "title": " Colab Pro available outside US?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 174515,
      "title": "Another 0.99+ team...",
      "comment_count": 51,
      "views": 0,
      "votes": 38
    },
    {
      "id": 175769,
      "title": "Structured Chaos - Some Organizational Tips",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 176192,
      "title": "Top 100 CSV files",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175425,
      "title": "From 66x online tutorials to winning the First Provisional Silver Medal",
      "comment_count": 8,
      "views": 0,
      "votes": 12
    },
    {
      "id": 176406,
      "title": "What worked in this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175252,
      "title": "What just happened?",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 175379,
      "title": "still interested to know : 0.99 on public LB, how is it done?",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 175467,
      "title": "With Patient context",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 174589,
      "title": "Estimate the Shake",
      "comment_count": 30,
      "views": 0,
      "votes": 56
    },
    {
      "id": 175461,
      "title": "Winners have made my belief in Pytorch even stronger",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 175319,
      "title": "Was fun ....",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 175656,
      "title": "I chose wrongly  !!!, I had 12 submissions in the medal zone",
      "comment_count": 14,
      "views": 0,
      "votes": 0
    },
    {
      "id": 175449,
      "title": "Did MinMax ensemble work?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175893,
      "title": "Dataset Citation",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 175314,
      "title": "\"In CV we trust\" should be in researchers's anthem",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 175475,
      "title": "139th Place Summary",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 175400,
      "title": "Is SIIM-ISIC a kind of M5 bis ?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 174469,
      "title": "Shake-up like M5 forecasting? ",
      "comment_count": 38,
      "views": 0,
      "votes": 9
    },
    {
      "id": 173808,
      "title": "So many things to try and one week left only...",
      "comment_count": 120,
      "views": 0,
      "votes": 56
    },
    {
      "id": 174865,
      "title": "Early Stopping observations",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173863,
      "title": "Annoying score on Leaderboard",
      "comment_count": 35,
      "views": 0,
      "votes": 11
    },
    {
      "id": 174806,
      "title": "Competition ends Aug 17 night, not Aug 18.",
      "comment_count": 5,
      "views": 0,
      "votes": 24
    },
    {
      "id": 175514,
      "title": "What's the diagnosis unknown mean?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 165217,
      "title": "EfficientNet usage in R",
      "comment_count": 25,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175372,
      "title": "Hacking super-resolution images",
      "comment_count": 13,
      "views": 0,
      "votes": 6
    },
    {
      "id": 176191,
      "title": "The final Leaderboard has been published",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 175332,
      "title": "This Supposed to be my Best Submission",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 175317,
      "title": "4th to 456th Reaction",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 175227,
      "title": "No matter what happens, I will always trust my CV...",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 175854,
      "title": "Will A Team Submission and Team be Removed if a member profile has been deleted ",
      "comment_count": 19,
      "views": 0,
      "votes": -8
    },
    {
      "id": 175327,
      "title": "Who had the highest PyTorch Single Model score on Private LB?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175560,
      "title": "GNN for Ugly Duckling Effect ?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 173130,
      "title": "Upsampling Malignant Improves AUC 0.003!",
      "comment_count": 34,
      "views": 0,
      "votes": 53
    },
    {
      "id": 175390,
      "title": "Did we start ensembling too early?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 176085,
      "title": "SIIM 2020 vs SIIM 2019",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175039,
      "title": "Brainstorm of Ideas Kaggle could do to prevent / reduce fraud",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175066,
      "title": "Issue with PyTorch XLA.",
      "comment_count": 15,
      "views": 0,
      "votes": 5
    },
    {
      "id": 175380,
      "title": "Shaked to the core",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175422,
      "title": "My Approach and lesson learned!",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 175579,
      "title": "Should it be allowed to create blends using others's submission.csv's?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 174897,
      "title": "The best single model CV/LB score?",
      "comment_count": 37,
      "views": 0,
      "votes": 5
    },
    {
      "id": 175333,
      "title": "Great ShakeUp And Variation ",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174852,
      "title": "High score notebooks reminder",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 175386,
      "title": "Iterating faster by careful sampling (157th private)",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 175402,
      "title": "Pytorch(Stratified-Kfold-5fold - 256*256) - No Augmentation - No Triple Stratified - No Multiple resized images -Public LB- 91.4 Private LB Score- 90.41",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 175387,
      "title": "a note on giving online lesson using kaggle",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 175351,
      "title": "302th Solution Writeup - Always trust your CV",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173020,
      "title": "AUC intuitively explained",
      "comment_count": 16,
      "views": 0,
      "votes": 73
    },
    {
      "id": 174657,
      "title": "Has anyone been dreaming about this competition? 👀",
      "comment_count": 16,
      "views": 0,
      "votes": 8
    },
    {
      "id": 175427,
      "title": "Choose the wrong csv paid the price : didn't choose 0.9430",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 174956,
      "title": "How High-Score Kernels Doesn't Affect Us",
      "comment_count": 29,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175270,
      "title": "Incoming - earthquake on Private LB in 6 hr ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175155,
      "title": "TPU | Google SDK connect issue | Keeps on loading",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 174116,
      "title": "Coding Song/playlist recommendation ",
      "comment_count": 11,
      "views": 0,
      "votes": 8
    },
    {
      "id": 175311,
      "title": "grab your popcorn",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175421,
      "title": "Out of Top 100 Rankings - Only 7 teams rank decreased (Is this a surprise?)",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175675,
      "title": "Error code 404 ",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 174320,
      "title": "Kaggle new Front-end design look worse than before",
      "comment_count": 15,
      "views": 0,
      "votes": 10
    },
    {
      "id": 175382,
      "title": "Blend simple tabular model can improve PB score",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175036,
      "title": "Good luck to everyone.",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 175310,
      "title": "Shakeup was massive!",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174299,
      "title": "ResourceExhaustedError when using TPU",
      "comment_count": 45,
      "views": 0,
      "votes": 15
    },
    {
      "id": 173272,
      "title": "Pytorch user, try resnest instead of efficientnet",
      "comment_count": 35,
      "views": 0,
      "votes": 25
    },
    {
      "id": 174869,
      "title": "GAN Notebook to generate images ( Completed )",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175346,
      "title": "Context Specific Submissions thread",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 175095,
      "title": "It is all about ensembles in the last stage....",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 174966,
      "title": "Does RANK BLEND method WORK?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 172357,
      "title": "Colab update to tensorflow 2.3 memory problem",
      "comment_count": 40,
      "views": 0,
      "votes": 30
    },
    {
      "id": 174622,
      "title": "With more complex models (b4,b5) both CV and LB go down",
      "comment_count": 18,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175130,
      "title": "Good balance between CV/OOF and LB",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175301,
      "title": "Deadline for 3 competitions the same day, intense!",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 175205,
      "title": "my account is actually advertised by the screenshots of angtk",
      "comment_count": 29,
      "views": 0,
      "votes": -79
    },
    {
      "id": 175395,
      "title": "Diversification is the key!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175473,
      "title": "Have anyone noticed some users have double accounts in LB? ",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174602,
      "title": "Ensemble Techniques?",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 175204,
      "title": "Best of luck! ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175323,
      "title": "Thank you all very much)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175320,
      "title": "Such a tough Competition. Was it really CV?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175274,
      "title": "MinMax or np.log ensemble",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174045,
      "title": "Don't forget to use your gpu tensor cores",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 174522,
      "title": "More Resized Images",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 172830,
      "title": "Join SIIM AI Conference Virtually on 9/13-14",
      "comment_count": 6,
      "views": 0,
      "votes": 23
    },
    {
      "id": 175315,
      "title": "The shakeup is really unbelievable!",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174503,
      "title": "MixUp implementation for Tensorflow datasets",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 174923,
      "title": "PEP 8 Limiting our Data-Stories to 79 characters/line",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 175328,
      "title": " Congratulations 🎊 to winners",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175353,
      "title": "Weighting metadata high seems to be not good idea!?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 175196,
      "title": "First of all, my account is actually advertised by the screenshots of angtk",
      "comment_count": 8,
      "views": 0,
      "votes": -38
    },
    {
      "id": 176042,
      "title": "Test efs fsefes fdsf sdf sdf sd",
      "comment_count": 0,
      "views": 0,
      "votes": -18
    },
    {
      "id": 175330,
      "title": "105 place solution (0.9413 on LB). ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175309,
      "title": "Annoying consequence of new Kaggle interface - Can no longer do \"Find\" in discussions",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175181,
      "title": "ROC of OOF Predicitions (Model Effnet)",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174995,
      "title": "Autonencoder approach for Anomaly detection - notebook link ( TPU )",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 175385,
      "title": "When is it okay to publish high scoring kernels?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 173236,
      "title": "CV scores of your ensembles ",
      "comment_count": 65,
      "views": 0,
      "votes": 14
    },
    {
      "id": 171745,
      "title": "Interesting solution for 224 x 224 images (0.9287, no external data)",
      "comment_count": 11,
      "views": 0,
      "votes": 89
    },
    {
      "id": 174743,
      "title": "Binary Cross Entropy and Focal Loss Ensemble",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 175347,
      "title": "Any Papers or code links are possible for context specific research on melonama",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 175350,
      "title": "[Question] How do we check which of our 3 submissions performed the best?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 175325,
      "title": "Shake up warning",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 175349,
      "title": "Who would have known about the shakeup? Everyone! (Public - 153 rank, Private - 41 rank)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175341,
      "title": "CV / Private LB score",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 175321,
      "title": "The highest Private Score of public notebook. (0.9446)",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 175316,
      "title": "Need Help To Choose Best Model",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164092,
      "title": "PyTorch JPEGs - 768, 512, 384, 256 - TensorFlow JPEGs",
      "comment_count": 76,
      "views": 0,
      "votes": 197
    },
    {
      "id": 175127,
      "title": "test data loading problem!",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 175297,
      "title": "Melanoma Classification GAN",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173366,
      "title": "Adding Attention to EfficientNet",
      "comment_count": 5,
      "views": 0,
      "votes": 26
    },
    {
      "id": 175201,
      "title": "First of all, my account is actually advertised by the screenshots of angtk",
      "comment_count": 16,
      "views": 0,
      "votes": -45
    },
    {
      "id": 174489,
      "title": "Using TPU on Colab",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 175177,
      "title": "Fast upload files",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 174483,
      "title": "Recommendations on Final submissions --Reduce overfitting??",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174762,
      "title": "Google Colab TPU: OOM issues?",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175326,
      "title": "M A S S I V E",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 175007,
      "title": " Maybe a question outside of this competition. GPU quota.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 175368,
      "title": "only stack the public kernel can reach the top 10",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 174025,
      "title": "Tips and Tricks to make the most out of TPU ",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 171930,
      "title": "10 Potential Private Test Leaks",
      "comment_count": 51,
      "views": 0,
      "votes": 86
    },
    {
      "id": 175376,
      "title": "Jump in the Private LB",
      "comment_count": 1,
      "views": 0,
      "votes": -8
    },
    {
      "id": 174450,
      "title": "ISIC 2020 datasets with color normalized images (with color constancy)",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 173322,
      "title": "GPU Quota is increased to 39hrs per week",
      "comment_count": 11,
      "views": 0,
      "votes": 10
    },
    {
      "id": 174528,
      "title": "Are you all using the same transforms in train, validation, OOF and test?",
      "comment_count": 16,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174035,
      "title": "Call for Self-Nominations: TPU Stars",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 174757,
      "title": "TPU training, seems to hang, no progress",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 174058,
      "title": "Weights for different models - Ensemble",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174269,
      "title": "ROC around 0.5 during training",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 175168,
      "title": "The way of learning Computer Vision algorithm",
      "comment_count": 2,
      "views": 0,
      "votes": -7
    },
    {
      "id": 174551,
      "title": "TF TPU with JPEGS?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 174435,
      "title": "Melanoma - Resource Exhausted Error ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174410,
      "title": " i was completely at a loss...",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 174171,
      "title": "Where do you train?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 170846,
      "title": "Is GAN based melanoma generation allowed in this competition?",
      "comment_count": 24,
      "views": 0,
      "votes": 13
    },
    {
      "id": 174012,
      "title": "Results of models other than efficientnet.",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167551,
      "title": "View Images with RAPIDS cuML TSNE",
      "comment_count": 45,
      "views": 0,
      "votes": 136
    },
    {
      "id": 174784,
      "title": "\"failed to connect to all addresses\" Error while using private Kaggle dataset on TPU...",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173951,
      "title": "Input to my notebook just vanished!!!",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174321,
      "title": "2 input with custom Generator facing this issue ",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174735,
      "title": "What should be the steps_per_epoch for a model on TPU?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 172870,
      "title": "Changing the drop_connect_rate argument improves my EfficienNet model ",
      "comment_count": 8,
      "views": 0,
      "votes": 22
    },
    {
      "id": 174104,
      "title": "Beginner's Approach",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 172904,
      "title": "Turbo charging data loading using c-types cache",
      "comment_count": 22,
      "views": 0,
      "votes": 7
    },
    {
      "id": 171525,
      "title": "You May Choose 3 Final Submissions",
      "comment_count": 50,
      "views": 0,
      "votes": 46
    },
    {
      "id": 173852,
      "title": "My overall auc for one CV score lower than the average of each fold",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 174712,
      "title": "Melanoma identification using \"contextual\" images",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 173438,
      "title": "Should we expect a shake-up?",
      "comment_count": 12,
      "views": 0,
      "votes": 12
    },
    {
      "id": 174312,
      "title": "Trying to load previously trained model weights but getting a TPU Compilation Error",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174413,
      "title": "Custom LR Scheduler using Pytorch",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173231,
      "title": "Optimal batch size on TPU for training",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 172103,
      "title": "What is better? CNN with no meta INFO + Meta ensemble VS CNN with Meta",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173191,
      "title": "Approaches summary ",
      "comment_count": 4,
      "views": 0,
      "votes": 25
    },
    {
      "id": 174402,
      "title": "Need Good Public Kernels to learn/apply Ensembling",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 174699,
      "title": "OOF v/s LB",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 174117,
      "title": "Tips to increase TPU efficiency? ",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173724,
      "title": "Which external dataset to use as pytorch user ? ",
      "comment_count": 18,
      "views": 0,
      "votes": 2
    },
    {
      "id": 172950,
      "title": "96.19LB score around 100 people achieved .... Really !!! What are you talking? ",
      "comment_count": 24,
      "views": 0,
      "votes": 5
    },
    {
      "id": 174080,
      "title": "Ensuring better score than previously submitted submission file",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 172632,
      "title": "[FIXED] - Notebook Commit - JSON Error - Failed",
      "comment_count": 18,
      "views": 0,
      "votes": 13
    },
    {
      "id": 168152,
      "title": "What's your best (single) Pytorch Model score ?",
      "comment_count": 111,
      "views": 0,
      "votes": 37
    },
    {
      "id": 174349,
      "title": "Final submission",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 174317,
      "title": "How to make final submission using ensembles",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 173708,
      "title": "Various Evaluation Metrics (Beginners Can learn)",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 173117,
      "title": "pytorch and 384x384",
      "comment_count": 35,
      "views": 0,
      "votes": 2
    },
    {
      "id": 174453,
      "title": "Numerous Output files ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 174329,
      "title": "contextual information - sorry to bother again",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 174820,
      "title": "Suggestions for final submission",
      "comment_count": 1,
      "views": 0,
      "votes": -16
    },
    {
      "id": 173709,
      "title": "Kaggle notebook issues.",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 172799,
      "title": "Ideas from Google but tools for Pytorch ? ",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173718,
      "title": "Training in parts vs together!",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173274,
      "title": "Higher score above 0.95",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173479,
      "title": "Best single model 0.953 but bad Ensembles, suggestions ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173859,
      "title": "Ensembling scores of different sized images.",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 174199,
      "title": "Normalization - CoarseDropout",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 174161,
      "title": "Why is tensorflow not support EfficientNet?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 173684,
      "title": "How to upgrade TPU software version of Kaggle kernel from TF 2.2 to 2.3?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 172816,
      "title": "Inconsistant CV and LB when adding Metadata",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 173674,
      "title": "2 Model trained on Class 0 OR Class 1 only",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173005,
      "title": "methods please and not submission ensembles",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 173735,
      "title": "Any luck with BiT (Big transfer)?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173365,
      "title": "People Started Ensembling?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173404,
      "title": "Please help me with some suggestions, Pytorch users",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173410,
      "title": "Training multiple big models on TPU with metadata",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 174027,
      "title": "Which custom head to use for EffficientNet?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 172888,
      "title": "Using CUDA pin_memory and non_blocking to speed up workflows",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173620,
      "title": "ROC - Predictions - Percentage Chance of Melanoma",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173923,
      "title": "What I need to submit as an output of this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 173878,
      "title": "is it correct if there is some redundancy images in the data-set ??",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168028,
      "title": "Mystery Images - RAPIDS cuML TSNE",
      "comment_count": 22,
      "views": 0,
      "votes": 121
    },
    {
      "id": 172003,
      "title": "Higher Score.....!!!",
      "comment_count": 40,
      "views": 0,
      "votes": 14
    },
    {
      "id": 169565,
      "title": "Congratulations to new notebooks grandmaster Laura Fink @allunia",
      "comment_count": 21,
      "views": 0,
      "votes": 42
    },
    {
      "id": 172917,
      "title": "LB 96.19 at ONE SUBMISSION. What happened to LB?",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173316,
      "title": "Need Help: AUC is always less that 0.5. What might be wrong with my model?",
      "comment_count": 14,
      "views": 0,
      "votes": 0
    },
    {
      "id": 172750,
      "title": "any one can tell me why im getting a problem when i try to print the score, precision, recall ",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173772,
      "title": "how to use image data and tabular at once in keras with TPU.",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 173632,
      "title": "Article on Melanoma Classification",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173613,
      "title": "Ensembling and Networks outputs",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173224,
      "title": "0.9931 seems untouchable",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 171597,
      "title": "Accuracy 0.98",
      "comment_count": 13,
      "views": 0,
      "votes": 54
    },
    {
      "id": 172612,
      "title": "78 positive in public test?",
      "comment_count": 6,
      "views": 0,
      "votes": 16
    },
    {
      "id": 173834,
      "title": "Are we still able to make submissions?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 173628,
      "title": "can any one explain to me how we can apply  over-sampling for this problem ???",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173805,
      "title": "Image cropping strategy and image augmentation strategy",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 173294,
      "title": "How can I install kaggle_datasets module?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173706,
      "title": "What is the value in case on Nan in TFRec datasets",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 172663,
      "title": "Error while extracting GCS Path link",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 173394,
      "title": "UnavailableError: Socket closed",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 173427,
      "title": "is freezing here a good idea for this problem ???",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 171801,
      "title": "Exploiting duplicate images",
      "comment_count": 29,
      "views": 0,
      "votes": 18
    },
    {
      "id": 172863,
      "title": "can any one tell me how can i balance the data-set with tfrec files ???",
      "comment_count": 15,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173633,
      "title": "to use f1_score in metrics",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 173331,
      "title": "Kaggle TPU vs Colab TPU",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 172591,
      "title": "Why are we not freezing efficientnet's  non-top layers?",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173242,
      "title": "With and without context submissions",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 172975,
      "title": "XXL Average model experiment",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 173086,
      "title": "ISIC 2018 - Winners Final 3 Submissions",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173229,
      "title": "Is anyone using BCE Label Smoothing with PyTorch?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 172695,
      "title": "KaggleDatasets().get_gcs_path~~~ Unauthenticated",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 172084,
      "title": "Question to kaggle TPU team",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 172233,
      "title": "Publishing datasets and gcs_paths",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 173254,
      "title": "Using dual input models.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 172252,
      "title": "filesystem access in tpu sessions seems slow since last night",
      "comment_count": 10,
      "views": 0,
      "votes": 7
    },
    {
      "id": 173195,
      "title": "multiple input model using keras api",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 171774,
      "title": "Patient-level label inconsistency",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 172684,
      "title": "Unexpected response from the service. while accessing the files",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 172427,
      "title": "Separate prize for using Tabular Data",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 172302,
      "title": "Ensemble",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 173261,
      "title": "What tool are you using for annotation?",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 173063,
      "title": "Train model with class weight ( [0.5478529  5.72434391] )",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 169897,
      "title": "mixed precision with TPU tf.distrubute?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 171489,
      "title": "What augmentations / albumentations have you found most effective?",
      "comment_count": 6,
      "views": 0,
      "votes": 22
    },
    {
      "id": 172019,
      "title": "Test time augmentations increases CV",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 172463,
      "title": "Do we need to normalize using ImageNet stats when we use pretrained EfficientNets?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 172033,
      "title": "Large models (Batch size Vs Learning rate)",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 172575,
      "title": "Prediction time is too long.",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 171331,
      "title": "Simple average may be better than rank average",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 172862,
      "title": "Tensorflow_Training and Prediction speed is very slow",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 172185,
      "title": "128 Tranforms and 128 Scores",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 172511,
      "title": "CPU vs TPU usage",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 171778,
      "title": "Progressive Sprinkles Augmentation GPU/TPU",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 169728,
      "title": "metadata don't want to cooperate",
      "comment_count": 42,
      "views": 0,
      "votes": 12
    },
    {
      "id": 163488,
      "title": "Thank you from a melanoma patient! ",
      "comment_count": 10,
      "views": 0,
      "votes": 78
    },
    {
      "id": 165963,
      "title": "Train on Pytorch slower than TensorFlow",
      "comment_count": 18,
      "views": 0,
      "votes": 3
    },
    {
      "id": 172643,
      "title": "Problem with TPU ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 171518,
      "title": "OpenCV2 > PIL-SIMD > PIL",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 171954,
      "title": "Can we use submissions to run a regression on auc?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 172218,
      "title": "Pytorch equivalent of Keras scheduler everyone uses?",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 170945,
      "title": "TensorFlow backbones other than EfficientNet",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 166316,
      "title": "ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type float).",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 163478,
      "title": "HELP : Keyerror while enumerating over DataLoader outputs",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 172183,
      "title": "Validation Batch Size for ROC / AUC",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 172407,
      "title": "pseudo labelling with soft labels leads to bad results?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 171514,
      "title": "Scikit-learn StratifiedGroupKFold",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 171982,
      "title": "Label Smoothing",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 171003,
      "title": "Why is EfficientNet so popular in this competition?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 166833,
      "title": "Pytorch Label Smoothing Implementation - Help Needed!",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 169488,
      "title": "CV vs Public Score",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 171968,
      "title": "Dataset(external) simplified to 256,384,512,784 for ensemble",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 171308,
      "title": "My TFRecords",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 164910,
      "title": "How To Use Last Years 2019 Comp Data (and 2018, 2017)",
      "comment_count": 58,
      "views": 0,
      "votes": 118
    },
    {
      "id": 156966,
      "title": "Are you a TPU Star?",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 171513,
      "title": "PyTorch: What are you all using for fast dataloading? LMDB, HFS5, Cache, etc?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 171341,
      "title": "New image vs replacing the image while doing augmentation",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166697,
      "title": "Fast.ai (v. 1) starter with pretty good LB (0.926): EffNetB0 5-Fold with external data",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 171318,
      "title": "[tf.keras users] TTA wrapper of qubvel",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 171207,
      "title": "Any way to avoid downloading 106 GB data? ",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170692,
      "title": "Utilizing GPU",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 170499,
      "title": "Are you opting for learning from image + metadata at together or seperatley ?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 171339,
      "title": "training time is huge ",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 171785,
      "title": "One target for a patient?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 171124,
      "title": "ensemble for AUC?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 170928,
      "title": "About Noisy Student (EfficientNet)",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 169434,
      "title": "About time",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 171768,
      "title": "Data Augmentation Idea: Generating new images when resizing them",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 171027,
      "title": "Are other big model like PolyNet and SENet not suitable for this competition?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 165352,
      "title": "4 Things that did not work!",
      "comment_count": 103,
      "views": 0,
      "votes": 62
    },
    {
      "id": 170304,
      "title": "Is it necessary to input larger size images?",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 167777,
      "title": "My Approach (95.2)",
      "comment_count": 27,
      "views": 0,
      "votes": 12
    },
    {
      "id": 170113,
      "title": "I am kaggle noobs, My CV and LB are so much inconsistent",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 170569,
      "title": "Does color constancy help?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169985,
      "title": "Differential Learning Rates",
      "comment_count": 14,
      "views": 0,
      "votes": 11
    },
    {
      "id": 170379,
      "title": "What should we use as a monitor? val_auc or val_loss?",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 170611,
      "title": "Tensorflow and Image Processing!",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 169980,
      "title": "Tip for those using frozen models",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 170806,
      "title": "What is the efficient way to load data in colab?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170261,
      "title": "RIDGE/LGB/NN/ on meta data Optuna focal loss ",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 166754,
      "title": "roc_auc_score and sigmoid",
      "comment_count": 26,
      "views": 0,
      "votes": 3
    },
    {
      "id": 171103,
      "title": "Memory Allocation Error",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 170395,
      "title": "Hair Removal VS Addition ~",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170494,
      "title": "LGB/MLP/RIDGE STACKING Effnet OOF with META",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 171337,
      "title": "[Offtopic] On Comps Evaluation",
      "comment_count": 6,
      "views": 0,
      "votes": -3
    },
    {
      "id": 159476,
      "title": "Microscope augmentation",
      "comment_count": 29,
      "views": 0,
      "votes": 77
    },
    {
      "id": 170106,
      "title": "TPU utilizing 0%",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 170730,
      "title": "Starter with TResNet: A GPU-Dedicated Arch",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170911,
      "title": "Use openCV functions for images read by decode_jpeg in TF?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 156176,
      "title": "Enjoyable, informative but frustrating at times.",
      "comment_count": 13,
      "views": 0,
      "votes": 23
    },
    {
      "id": 170063,
      "title": "Custom TFRecord on Colab TPU",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 169988,
      "title": "Start Small, Go Big",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 169806,
      "title": "Image and Meta Data Extraction from tfrecords",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 170396,
      "title": "How does one use ensembles?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169102,
      "title": "ImageDataGenerator with TPU",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 169802,
      "title": "Good neural network playground",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170179,
      "title": "external data and overfitting",
      "comment_count": 14,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170812,
      "title": "Is the Kaggle data set crashed?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 168253,
      "title": "How big is going to be the shake up?",
      "comment_count": 34,
      "views": 0,
      "votes": 19
    },
    {
      "id": 170596,
      "title": "Why the probabilities are all under 0.5?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 170364,
      "title": "Notebook to use Images and Metadata in single EfNet B6 Model",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 170714,
      "title": "how to implement tabnet in keras or tensorflow ?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 160430,
      "title": "Summary: Some Augmentations technique",
      "comment_count": 3,
      "views": 0,
      "votes": 27
    },
    {
      "id": 170496,
      "title": "Image Shapes",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 156027,
      "title": "Best Single Model",
      "comment_count": 177,
      "views": 0,
      "votes": 54
    },
    {
      "id": 169641,
      "title": "Efficient net training behaving weirdly",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 165598,
      "title": "Good validation accuracy, but low test score",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169963,
      "title": "Imputing patient_id",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 154297,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 62,
      "views": 0,
      "votes": 17
    },
    {
      "id": 168954,
      "title": "Exploring The limits of Meta-Features using Custom Tabnet",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 169531,
      "title": "exhausted with errors",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 169340,
      "title": "Predictions Scatter Plot",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 170138,
      "title": "MobileNet On Melanoma",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 170027,
      "title": "Anyone getting this????",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 168914,
      "title": "Scale in the images: Is it a leak?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 169504,
      "title": "Batch form of affine augmentations in Tensor Flow",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 168020,
      "title": "how to work with this competition dataset on google colab?",
      "comment_count": 17,
      "views": 0,
      "votes": 2
    },
    {
      "id": 169140,
      "title": "Do Simple Average for Better Score",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 165739,
      "title": "An easy and convenient way to look up GCS bucket addresses!",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 170075,
      "title": "Uncontrolled RAM growth - SIIM ISIC Melanoma",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 168641,
      "title": "How to run functions from other libraries in tensorflow data pipeline",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 169389,
      "title": "Help please",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 169585,
      "title": "Why does the prediction or CV scores depend on Pytorch vs Tensorflow codes?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168456,
      "title": "Ugly duckling detection - UMAP and pairwise distance",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 167591,
      "title": "what  have u learnt from this competition ?( any experience)  ",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 166006,
      "title": "What is the docker daemon error after 7 hours of GPU usage?",
      "comment_count": 16,
      "views": 0,
      "votes": null
    },
    {
      "id": 169262,
      "title": "Something wrong with strategy ? ",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 154296,
      "title": "Official External Data Thread",
      "comment_count": 108,
      "views": 0,
      "votes": 27
    },
    {
      "id": 167945,
      "title": "Strategy for Meta-Data to increase LB score 0.001 ",
      "comment_count": 11,
      "views": 0,
      "votes": 8
    },
    {
      "id": 169136,
      "title": "How to get the CV score on ensemble models?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 169200,
      "title": "Which data  augment technology is helpful for this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167573,
      "title": "Public High Accuracy Notebooks is not good",
      "comment_count": 17,
      "views": 0,
      "votes": 17
    },
    {
      "id": 161553,
      "title": "Final submission duration",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 154683,
      "title": "1st place solution in ISIC 2019 challenge (w/code)",
      "comment_count": 23,
      "views": 0,
      "votes": 174
    },
    {
      "id": 167266,
      "title": "What is your best single model CV not LB score?",
      "comment_count": 13,
      "views": 0,
      "votes": 8
    },
    {
      "id": 156934,
      "title": "YouTube tutorial on melanoma classification",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 160867,
      "title": "submission without kernel?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168371,
      "title": "I want to use similar function that is pytorch 'Colorjitter' in Keras",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 168849,
      "title": "Having trouble loading files",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 155736,
      "title": "Better proportion of malignant images in test data",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 168073,
      "title": "Learn Deep learning by competing in SIIM-ISIC Melanoma Classification.",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 169020,
      "title": "How to ensemble SRNext and Efficient?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 167217,
      "title": "I have a question about LRscheduler and Image augmentation",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 168582,
      "title": "Cannot access data anymore",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 168543,
      "title": "Is this normal or weird?",
      "comment_count": 22,
      "views": 0,
      "votes": 0
    },
    {
      "id": 168345,
      "title": "Huge gap between val_AUC and LB ?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 168422,
      "title": "Image quality may affect model performance",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 168647,
      "title": "Does multiple augmentations on dataset helps in increasing LB score ?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 166399,
      "title": "Ensemble is the key",
      "comment_count": 17,
      "views": 0,
      "votes": 11
    },
    {
      "id": 167215,
      "title": "[Updated] Distribution of test data 2.367%",
      "comment_count": 11,
      "views": 0,
      "votes": 24
    },
    {
      "id": 155251,
      "title": "Use Both Image Data and Tabular Data",
      "comment_count": 106,
      "views": 0,
      "votes": 141
    },
    {
      "id": 168632,
      "title": "Help in TFRecords",
      "comment_count": 11,
      "views": 0,
      "votes": 0
    },
    {
      "id": 168290,
      "title": "Dataset for Research",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166634,
      "title": "Wellcome new quadruple GM",
      "comment_count": 23,
      "views": 0,
      "votes": 29
    },
    {
      "id": 168278,
      "title": "Kernel restart (RAM) right after training",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168095,
      "title": "Trained Models",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 166703,
      "title": "Using \"noisy-student\" is more powerful than \"imagenet\"",
      "comment_count": 24,
      "views": 0,
      "votes": 15
    },
    {
      "id": 168334,
      "title": "Best Image Size??",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 154876,
      "title": "Color constancy as a pre-processing step",
      "comment_count": 8,
      "views": 0,
      "votes": 18
    },
    {
      "id": 165039,
      "title": "great ways of using Pre-trained models ",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 168489,
      "title": "Tips for training big datasets",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 168536,
      "title": "Struggling with preprocesing image in inference kernel! Too Slow!!!",
      "comment_count": 10,
      "views": 0,
      "votes": 0
    },
    {
      "id": 163620,
      "title": "Installing PyTorch 1.6 in Kaggle environment",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 168313,
      "title": "memory issues with shape 331,331,3 and batch size 8 with EFnet 6",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168458,
      "title": "How to interpret the AUC during training?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 168208,
      "title": "I made a dataset for PyTorch users that loads the jpg images easier!",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167987,
      "title": "Starter with GhostNet Model, Thanks Alex Shonenkov",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 161719,
      "title": "Shades of Gray prepossessed data (both JPEG's and tfrecords) ",
      "comment_count": 19,
      "views": 0,
      "votes": 18
    },
    {
      "id": 168466,
      "title": "How to get shape of image in tf.dataset?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 154290,
      "title": "Looking for a Team Thread",
      "comment_count": 216,
      "views": 0,
      "votes": 21
    },
    {
      "id": 167663,
      "title": "Training ETA is 5 hours when I added step_per_epoch  with epoch=1",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167065,
      "title": "What is best method to experiment",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 168366,
      "title": "how long is your epoch on TPU?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 168165,
      "title": "Thank YOU!",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 167965,
      "title": "Data-Efficient Deep Learning Method for ImageClassification Using Data Augmentation, FocalCosine Loss, and Ensemble",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 168332,
      "title": "How to compute multi label class weight?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 167518,
      "title": "🔬 Skin Lesions Detection",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 167795,
      "title": "[Info]: PyTorch, GhostNet-Pretrained Weights",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166571,
      "title": "GPU is not working",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164020,
      "title": "pytorch and TPU",
      "comment_count": 26,
      "views": 0,
      "votes": 4
    },
    {
      "id": 168186,
      "title": "Training time for 384x384 images on tpu(pytorch)",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 166926,
      "title": "Melanoma - A Story in Three Parts",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 167313,
      "title": "TPU without tfrecord",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 155579,
      "title": "TFRecords 768x768, 512x512, 384x384 With Meta Data",
      "comment_count": 77,
      "views": 0,
      "votes": 151
    },
    {
      "id": 167359,
      "title": "What is the best score you can achieve using only tabular data?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 166155,
      "title": "Chris Deotte, Thank you! ",
      "comment_count": 12,
      "views": 0,
      "votes": 27
    },
    {
      "id": 166711,
      "title": "768x768 maybe the key",
      "comment_count": 17,
      "views": 0,
      "votes": 8
    },
    {
      "id": 167515,
      "title": "Anyone Using Metric Learning ? ",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 166733,
      "title": "Using diagnosis as secondary output",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167986,
      "title": "LB for 30% of data?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 167951,
      "title": "kernel is not utilizing gpu",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 167066,
      "title": "How to use FixEfficientNet??",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 165910,
      "title": "bad result when training with 8 TPU cores - OK on single core",
      "comment_count": 26,
      "views": 0,
      "votes": 4
    },
    {
      "id": 166598,
      "title": "OpenCV GPU ??",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 167227,
      "title": "Issue with GPU",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155306,
      "title": "using html to view images per patient",
      "comment_count": 13,
      "views": 0,
      "votes": 57
    },
    {
      "id": 167664,
      "title": "Keras vs PyTorch (and TFRecords)",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 167210,
      "title": "Leaderboard Changed ?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 167544,
      "title": "(tf.keras) How to release kernel RAM during inference?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 156476,
      "title": "Target leaks hunt started ...",
      "comment_count": 30,
      "views": 0,
      "votes": 18
    },
    {
      "id": 164309,
      "title": "Native Mixed Precision in PyTorch1.6+🔥",
      "comment_count": 8,
      "views": 0,
      "votes": 21
    },
    {
      "id": 167206,
      "title": "Does Over fitting mean model has enough parameters?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 167015,
      "title": "Cropping and Hue augmentations. Are they really useful?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 165223,
      "title": "Segmentation before classification",
      "comment_count": 15,
      "views": 0,
      "votes": 14
    },
    {
      "id": 166975,
      "title": "Inference is too slow",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 166167,
      "title": "No focal loss? Then how do you handle class imbalance?",
      "comment_count": 18,
      "views": 0,
      "votes": 3
    },
    {
      "id": 167262,
      "title": "Weight/snapshot ensembling? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 166605,
      "title": "Resize the image from tfrecords",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166126,
      "title": "Data augmentation EDA",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 154281,
      "title": "Data loading is slow ?",
      "comment_count": 54,
      "views": 0,
      "votes": 9
    },
    {
      "id": 166614,
      "title": "Problem regarding Hair Augmentation using Tensorflow",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155705,
      "title": "power of external data",
      "comment_count": 8,
      "views": 0,
      "votes": 31
    },
    {
      "id": 162035,
      "title": "focal loss for pytorch?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166870,
      "title": "Model fitting with Map datasets ",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 156614,
      "title": "Should we use class_weight to handle class imbalance ??",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 155885,
      "title": "Feature engineering on metadata ",
      "comment_count": 20,
      "views": 0,
      "votes": 23
    },
    {
      "id": 164560,
      "title": "🔴 1st place solution in ISIC 2018 challenge [Youtube Video]",
      "comment_count": 11,
      "views": 0,
      "votes": 18
    },
    {
      "id": 166497,
      "title": "ORB feature extraction and CNN avoiding",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 165820,
      "title": "Public LB dramatically higher than local CV",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166660,
      "title": "Combatting class imbalance question",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 166267,
      "title": "[help] Can't understand the error given by model.fit()",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 166121,
      "title": "FixEfficientNetB7 Noisy-student ",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 165213,
      "title": "binary_crossentropy vs categorical_crossentropy",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 166536,
      "title": "Some Doubts Regarding Melanoma Classification",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 164970,
      "title": "[solved?]PyTorch TPU is slower than PyTorch GPU",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 165194,
      "title": "Multi-Sample Dropout implement: Better Dropout! Better Accuracy!",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 166424,
      "title": "Loading test image data set with PyTorch",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 166295,
      "title": "How to stabilize LB score for the same Experiment?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 165669,
      "title": "TPU - how to save progress?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 166320,
      "title": "How does different sampling techniques makes difference?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 166427,
      "title": "does down sampling works?",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 164616,
      "title": "Pretraining on ISIC 2019 data hurts performance?",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 164916,
      "title": "Colab KaggleDatasets() Issue",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 155759,
      "title": "Body Hair Augmentation",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 158414,
      "title": "Train & Test Intersections",
      "comment_count": 17,
      "views": 0,
      "votes": 46
    },
    {
      "id": 165212,
      "title": "Imbalanced Dataset Sampler! Better Sampler! Bert balance dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 164956,
      "title": "free copy for a limited time Deep Learning with PyTorch",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 164594,
      "title": "\"Wonderful\" JPG",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 164407,
      "title": "Looking for the optimal cross validation",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 165623,
      "title": "Ensembling (for Vision) models",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 164416,
      "title": "pytorch XLA......always allocate more memory than is available",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 163909,
      "title": "Advanced hair augmentation in TensorFlow",
      "comment_count": 15,
      "views": 0,
      "votes": 16
    },
    {
      "id": 164989,
      "title": "Image Normalization",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 154347,
      "title": "Use Of TFrecords",
      "comment_count": 10,
      "views": 0,
      "votes": 10
    },
    {
      "id": 160784,
      "title": "CutMix is tricky in this competition",
      "comment_count": 16,
      "views": 0,
      "votes": 22
    },
    {
      "id": 163650,
      "title": "10015 lesion area segmentations",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 165402,
      "title": "Dense layer problem",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164995,
      "title": "Question for Organizer SIIM: Is using *diagnosis* column from train.csv considered as *With Context*?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163641,
      "title": "Has anyone tried CutMix or MixUp augmentation successfully",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 159579,
      "title": "MXU usage / how to get the most out of TPUs?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 164752,
      "title": "AttributeError: module 'tensorflow.keras.applications' has no attribute 'EfficientNetB4'",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164514,
      "title": "How to cross 0.95",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162281,
      "title": "Balanced and Segmented dataset.",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 164717,
      "title": "SIIM code requirements",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155415,
      "title": "Few questions about the dicom files",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 162396,
      "title": "Question for Organizer SIIM: Is train/validation splits by patient_id considered as **With Context**?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 164105,
      "title": "Kaggle Kernel vs Local:  Data Loading Comparison ",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 163754,
      "title": "My special list of what can be done",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 163944,
      "title": "accuracy shoots to 0.98 and validation to 0.96 in first epoch. is there something wrong?",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 164612,
      "title": "size of the data (ISIC 2020 + 2019) and kaggle kernels",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164354,
      "title": "Are you guys using any external data?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 164524,
      "title": "Help on AUC score Value Error",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 164481,
      "title": "TPU Training not working",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 164295,
      "title": "Using Class Weights During training",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 164311,
      "title": "i am an undergraduate student and just start learning this thing. Do you design you own architecture for competitions like this? help me out with some study material may be some book or tutorial?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 163930,
      "title": "Does cropping hurt performance?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 164664,
      "title": "Smaller Training Subset Download?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 164617,
      "title": "Is predicting Diagnosis better than predicting Target?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 163227,
      "title": "TFRecords 768x768, 384x384, 256x256 External Data",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 163606,
      "title": "Best architectures ensembles",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 163805,
      "title": "Advanced Formatted Strings",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 164457,
      "title": "How to find image name for tfrecord image?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 160410,
      "title": "Best Loss function?",
      "comment_count": 16,
      "views": 0,
      "votes": 7
    },
    {
      "id": 163303,
      "title": "External packages not allowed?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163422,
      "title": "How to deal with class imbalance?",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 164291,
      "title": "Which metric to use and workflow for model tuning",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 163611,
      "title": "Cuts?",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 164248,
      "title": "Pytorch or keras ? What will you choose for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 163501,
      "title": "Can we use TFrecords image format with ImageDataGenerator() ? ",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 163225,
      "title": "how to use ImageDataGenerator?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163667,
      "title": "Just a thought on competition",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 164268,
      "title": "Updated EDA and preprocessing",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 163856,
      "title": "Progressive Augmentations with Pytorch?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 154658,
      "title": "Extract data from DICOM files",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 163932,
      "title": "Crash in data pre-processing step",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 163733,
      "title": "Got same prediction value for each image in test data?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154568,
      "title": "Resized Images",
      "comment_count": 34,
      "views": 0,
      "votes": 72
    },
    {
      "id": 163148,
      "title": "How to split a tf.data.TFRecordDataset to train and val datasets?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163893,
      "title": "Kaggle API support for TPU?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 161043,
      "title": "Resized JPG formats of the data",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 163820,
      "title": "I cannnot use gpu",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163395,
      "title": "how to split images for training between two categories?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 161214,
      "title": "How to make pytorch TPU training faster??",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 163697,
      "title": "Accuracy changes on moving from cpu to gpu",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 156002,
      "title": "Implementation of Stratified Group K-Folds",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 162476,
      "title": "ISIC 2018 dataset?",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155216,
      "title": "GPU Problems",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 160276,
      "title": "Help maximizing GPU. One epoch takes 5 hours with GPU.",
      "comment_count": 27,
      "views": 0,
      "votes": 3
    },
    {
      "id": 162857,
      "title": "Pre-trained CNN V/S Randomly initialize CNN models?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 163274,
      "title": "Valid Loss increasing but AUC score increasing too?",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163602,
      "title": "Getting different scores with  the same model and same input",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 158395,
      "title": "TF/ TPU: from .tfrec to cross-validation. Step-by-step",
      "comment_count": 16,
      "views": 0,
      "votes": 48
    },
    {
      "id": 161713,
      "title": "Need more runtime per run for TPUs!",
      "comment_count": 15,
      "views": 0,
      "votes": 5
    },
    {
      "id": 162678,
      "title": "Can someone explain this augmentation matrix  code?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 160312,
      "title": "Why are validation roc_auc_score and submission score so different?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 163479,
      "title": "How to implement focal loss? and why focal loss performs better on this task then binary_crossentropy?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 162933,
      "title": "Looking for teammate",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 161084,
      "title": "TPU or GPU?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 162788,
      "title": "[Possible augmentation] Hair Removal from Images",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 163188,
      "title": "New team!!!!!",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 163100,
      "title": "Using different filters for images",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161792,
      "title": "Best Research Papers for Competition",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 160595,
      "title": "How to split TFRecords dataset based on class?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161923,
      "title": "A Little Help",
      "comment_count": 21,
      "views": 0,
      "votes": null
    },
    {
      "id": 162393,
      "title": "Menzies Method and other Dermoscopy Algorithms",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 162352,
      "title": "Congratulations to New Grandmaster Alex Shonenkov 💛",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 162469,
      "title": "Learning Resources",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 160555,
      "title": "(CV  VS  LB) Which one should we trust?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 162010,
      "title": "model overffitting because of the extremely in-banlanced training data",
      "comment_count": 11,
      "views": 0,
      "votes": 0
    },
    {
      "id": 162398,
      "title": "Additional tabular data",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 155201,
      "title": "dealing with fluctuating validation AUC in a single fold ",
      "comment_count": 23,
      "views": 0,
      "votes": 38
    },
    {
      "id": 159847,
      "title": "why is nobody talking about pseudo labeling here?",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 161631,
      "title": "Can someone explain how TTA works in this competition?",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 156263,
      "title": "Tips to make the most out of a kaggle GPU/TPU session",
      "comment_count": 19,
      "views": 0,
      "votes": 26
    },
    {
      "id": 160240,
      "title": "Best CV improvement over folds",
      "comment_count": 20,
      "views": 0,
      "votes": 3
    },
    {
      "id": 161788,
      "title": "AUC monitoring in TF2",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 162446,
      "title": "Any suggestions to improve score ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 162533,
      "title": "the problems",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 162211,
      "title": "[PyTorch] Training on GPU takes too long",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 161674,
      "title": "Confusion about the feature formats of tfrecord files.",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 161681,
      "title": "Very low validation score",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160762,
      "title": "Having a reliable CV strategy",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 162152,
      "title": "Resized Jpg Dataset : train + external dataset",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 162015,
      "title": "The choice of optimizer",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155345,
      "title": "Using Stratified GroupKFold for CV",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 157701,
      "title": "[DBSCAN Clustering] Check Marking",
      "comment_count": 11,
      "views": 0,
      "votes": 36
    },
    {
      "id": 161052,
      "title": "Pytorch-XLA Installation Error",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 159015,
      "title": "Using colab vs kaggle notebooks",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161528,
      "title": "Why training takes too much time with GPU ?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 160692,
      "title": "512x512 jpeg images of competition",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 155433,
      "title": "Same patient ID having varied age values",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 161712,
      "title": "Missing data in original dataset",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 161401,
      "title": "The right way of dealing with external data?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 161627,
      "title": "Stratified Kfold",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 161597,
      "title": "Trouble: Focal Loss with FP16 training  ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161560,
      "title": "Keras stop working at 2nd epoch.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158747,
      "title": "Request to Kaggle - Organize the external data thread",
      "comment_count": 17,
      "views": 0,
      "votes": 17
    },
    {
      "id": 158380,
      "title": "Data pre-processing for Melanoma Classification",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 158860,
      "title": "Focal loss testing results - Did you have a similar experience?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 160924,
      "title": "The Kernel has been Stopped after 3 hours of TPU continuos use",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160939,
      "title": "Getting this error. Can anyone help me resolve?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 161393,
      "title": "Accessing public data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 160136,
      "title": "DICOM or jpeg?",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 154519,
      "title": "Preprocessed jpegs to 224x224 png",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 161207,
      "title": "TPU get_gcs_path for local files",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 160388,
      "title": "What does your Kaggle Pipeline look like?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 160697,
      "title": "External data",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160907,
      "title": "Don't forget to check the distribution of your submission :)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 160495,
      "title": "Different Data Augmentation Techniques",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 156064,
      "title": "Beware of non-calibrated predictions",
      "comment_count": 10,
      "views": 0,
      "votes": 56
    },
    {
      "id": 160791,
      "title": "Efficiently using cost-efficient cloud GPU's/TPU's for Kaggle competitions",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 160782,
      "title": "Choice of Models",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 155348,
      "title": "understanding \"Ugly Duckling Concept\"",
      "comment_count": 9,
      "views": 0,
      "votes": 36
    },
    {
      "id": 160626,
      "title": "No Dataset API to download?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 160702,
      "title": "Use cross entropy loss (NOT BCE) for focal loss calculation",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 159580,
      "title": "Integration of image and tabular data (metadata) for fastai users ",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 159101,
      "title": "Yet another dataset with external data",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 159143,
      "title": "Different malignant images in ISIC 2019",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 160149,
      "title": "How to create a valid dataset and what metric to use for EarlyStopping?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 160238,
      "title": "External Model Weights",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 158895,
      "title": "Tabular Modeling With TabNet",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 160171,
      "title": "Image Augmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 159456,
      "title": "Download any specific folder easily with this method",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 158975,
      "title": "how to download kaggle dataset through terminal ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 156038,
      "title": "Melanoma Starter",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 154514,
      "title": "Question to Kaggle",
      "comment_count": 11,
      "views": 0,
      "votes": 22
    },
    {
      "id": 158682,
      "title": "Informed Consent External Data",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 158861,
      "title": "What image augmentation methods worked best?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159777,
      "title": "Magical val_accuracy level: what is it?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 156685,
      "title": "Output File not generated",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 158798,
      "title": "External data DOES NOT need to be public to get ranking points and medals [Confirmed]",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 159670,
      "title": "New and updated EDA with necessary pre-processing",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 159640,
      "title": "kfold did not improve acc",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 157273,
      "title": "ResourceExhaustedError",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159613,
      "title": "SIIM-ISIC 256x256 : Features from DenseNet169, DenseNet201,  ...",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 156533,
      "title": "Augmentations and Data Storage",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 158504,
      "title": "GPU is not working",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 159367,
      "title": "UnavailableError: Socket closed",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 159257,
      "title": "EfficientNet Size x Performance",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 154659,
      "title": "Tools for exploring DICOM files",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 155668,
      "title": "Reaching 0.9 with ResNet18 and 256x256 images",
      "comment_count": 46,
      "views": 0,
      "votes": 39
    },
    {
      "id": 159140,
      "title": "Higher number of epochs = better score?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 157109,
      "title": "[Torch XLA] Melanoma Crazy Fast",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 159427,
      "title": "Copy of NN doesn't work as original did",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 159102,
      "title": "How do I plot confusion matrix?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 157576,
      "title": "Notebook Disconnected during Training",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158304,
      "title": "GPU is not getting used, Any suggestion,Please need help 🙏🙏🙏",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 157361,
      "title": "Unable to extract properly in Colab",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158149,
      "title": "KFold Implementation help",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 159163,
      "title": "EDA with necessary image pre-processing",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 158941,
      "title": "GPU not working",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 157499,
      "title": "How to set up a good CV strategy ?",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 159064,
      "title": "Weird Predictions",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158967,
      "title": "Some files raise 404 not found when trying to download them with kaggle api in colab",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 158848,
      "title": "TPU MXU unit",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 156403,
      "title": "Q. How can I perform Image Augmentation only for the Minority class?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 154364,
      "title": "Kaggle API jpeg only downloads",
      "comment_count": 12,
      "views": 0,
      "votes": 22
    },
    {
      "id": 157973,
      "title": "Combining Tabular + Vision in fastai2",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 156998,
      "title": "Don't underestimate the Tabular data!!! [LB: .818]",
      "comment_count": 10,
      "views": 0,
      "votes": 16
    },
    {
      "id": 158668,
      "title": "No files in '/kaggle/input/'",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 158620,
      "title": "Colab + Kaggle API - not listing all files",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158484,
      "title": "Papers for Recommended Augmentations for Problem",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158236,
      "title": "Strange occurences",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 158520,
      "title": "Kaggle NoteBook RAM is exceeding",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 156284,
      "title": "Dixon's Q-test to identify \"Ugly duckling\" outliers",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 158349,
      "title": "'Request Merge' button is NOT active",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 157632,
      "title": "How to mix metadata with image-classification?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 157383,
      "title": "[Advice Needed] Hyperparameter/Architecture tuning",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 154464,
      "title": "Any way to download a specific folder in google colab?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 157337,
      "title": "Sometimes can't access the data",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 158168,
      "title": "Loading data using Pytorch Dataset",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 157839,
      "title": "Reading TFRecords from local or Kaggle datasets on TPUs",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 157672,
      "title": "Beginner question: minimum hardware specification",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 157960,
      "title": "Can't generate same results from previous public notebooks!!!!",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 156713,
      "title": "Size of each image - 2 groups",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 157060,
      "title": "AUC Metric",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 156532,
      "title": "Data Augmentation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155963,
      "title": "TPU HTTP Connection Error",
      "comment_count": 17,
      "views": 0,
      "votes": 9
    },
    {
      "id": 157819,
      "title": "Starter Tensorflow Kernel",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 156616,
      "title": "Column \"age_approx\" meaning",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 157238,
      "title": "Adversarial Validation 2 - Metadata and Image Size",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 157289,
      "title": "Anyone facing connection time out on get_gcs_path?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 157612,
      "title": "TPU: compile within or outside scope",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 156890,
      "title": "Melanoma Classification with Attention. ",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 157123,
      "title": "cvpr2020 workshop \"Skin Image Analysis\": the new papers are out",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 157589,
      "title": "TPU Usage at 0%",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 157279,
      "title": "KaggleDatasets HTTP Error(TPU)",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155874,
      "title": "Some great resources to start with",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 157135,
      "title": "TF dynamic dimension issue",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 156946,
      "title": "TFRecords Data Augmentation",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154733,
      "title": "CV vs LB",
      "comment_count": 21,
      "views": 0,
      "votes": 12
    },
    {
      "id": 157050,
      "title": "Focal loss nan values",
      "comment_count": 3,
      "views": 0,
      "votes": -2
    },
    {
      "id": 157255,
      "title": "Weighting false positives vs false negatives",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155317,
      "title": "Unbalanced classes and CNN",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 156995,
      "title": "Your TPU notebook stops after 15 minutes",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 155924,
      "title": "Beginner in CNN",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 154669,
      "title": "LB speculation",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 156359,
      "title": "Special Prize Question : Context and Non-Context",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 156339,
      "title": "Is 128x128 better than 32x32",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 157059,
      "title": "Torso cancer is more prevalent in the dataset, not most likely to be malign ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 156386,
      "title": " [TF.Keras] Melanoma Starter (GPU)",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 156794,
      "title": "Saving preprocessed data - Kernel Output limit size",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 155624,
      "title": "Download individual folders via python",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 156251,
      "title": "The evaluation metric (ROC curve)",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 156691,
      "title": "Resources Melanoma Detection that help you for approach",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 156334,
      "title": "Could we ask to add more decimals?",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 156321,
      "title": "Kaggle slow GPU Training ",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 156482,
      "title": "Beginner Advice",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 156407,
      "title": "Problem with fastai library",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 155459,
      "title": "Resized JPG Images: 300x300 & 640x640",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 155738,
      "title": "ABCDE is letters of the alphabet, which are a guide to help you recognize the warning signs of melanoma.",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 155672,
      "title": "Abhishek Thakur explaining SIIM-ISIC Melanoma Classification",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 155902,
      "title": "Number of benign/malignant samples in tfrecords files.",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 156516,
      "title": "Relevant paper and video",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 156237,
      "title": "use ‘ABCD’ rules",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 154791,
      "title": "How should I deal with this highly imbalanced data? Any Suggestions🙏",
      "comment_count": 14,
      "views": 0,
      "votes": 13
    },
    {
      "id": 156303,
      "title": "GPU makes no difference",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 156030,
      "title": "Different Augmentations",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 156405,
      "title": "Advice Needed !!",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 156153,
      "title": "Extract image features (w/ ImageNet weights)",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 155928,
      "title": "Augmentation and Size Techniques",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155069,
      "title": "For the ones who only need to download specific folder",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 156169,
      "title": "[Bug Fixed] StratifyGroupKfold",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155181,
      "title": "Where do the perfects come from? How much can I trust them?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155296,
      "title": "what is \"diagnosis=unknown\" in the csv train file?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 154285,
      "title": "Previous works for inspiration",
      "comment_count": 7,
      "views": 0,
      "votes": 42
    },
    {
      "id": 154906,
      "title": "66% chance of correct classifying based only on patient info",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 155367,
      "title": "tf.dataset tpu  pipeline augmentation other than tf.image",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 155986,
      "title": "folding vs not folding",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155739,
      "title": "Useful Research Papers ",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 155697,
      "title": "Confused about TFRecords",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155360,
      "title": "Some Research paper Related to Skin Cancer...",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 155932,
      "title": "Getting nan as model output",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 155925,
      "title": "Development Setup for CNN training",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 155754,
      "title": "[Help Needed] !pip install not working",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 155773,
      "title": "Download data on external server?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 155237,
      "title": "Careful about data leakage?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 156195,
      "title": "another unbalanced dataset",
      "comment_count": 0,
      "views": 0,
      "votes": -8
    },
    {
      "id": 154624,
      "title": "how many public test samples are positive?",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 155749,
      "title": "Weird error while training the model on TPU",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 155693,
      "title": "Generating new data?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 155664,
      "title": "What type of error is this????",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 154475,
      "title": "Organizers, thank you <3",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 155617,
      "title": "Got letter from Kaggle team: what the...",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 155011,
      "title": "A Look at the Data with t-SNE and UMAP dimensionality reduction algorithms",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 154440,
      "title": "It's AUC but ...",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 155190,
      "title": "Is this due to the heavily imbalanced data?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 154844,
      "title": "Don't flip your labels",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154501,
      "title": "Metric will change?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 155113,
      "title": "Submission question",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 155331,
      "title": "Is there any role of patients details in detection?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 154890,
      "title": "How to split a validation dataset from TFrecords?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 155227,
      "title": "Kaggle Notebooks Timeout",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 154755,
      "title": "Pytorch Lightning Starter notebook [0.879]",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 154785,
      "title": "Adversarial Validation on Pixel Data",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 154918,
      "title": "Looking for Teammate",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 154848,
      "title": "Too many requests error",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 154340,
      "title": "CLI download links?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154817,
      "title": "Input features in tfrec files",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 154738,
      "title": "Data provenance",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 154536,
      "title": "Help with metric",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 154322,
      "title": "EfficientNet Weights for Keras",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 154380,
      "title": "My best work (EDA for this competition)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 154278,
      "title": "Teaming up and looking to join a Team",
      "comment_count": 7,
      "views": 0,
      "votes": -1
    },
    {
      "id": 154375,
      "title": "Some Useful links related to Dicom Image ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 154457,
      "title": "Submission limits for a team of 5?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 154339,
      "title": "Training Data Creation",
      "comment_count": 1,
      "views": 0,
      "votes": null
    }
  ],
  "errors": []
}