{
  "total": 77,
  "topics": [
    {
      "id": 522934,
      "title": "i need to this data with annotation (Object Detection) can any one help me please",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 485834,
      "title": "orignal test data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 418478,
      "title": "I cannot submit the my assignment.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 326740,
      "title": "Labels for test set.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 83760,
      "title": "How to get 0.98+ AUC",
      "comment_count": 58,
      "views": 0,
      "votes": 52
    },
    {
      "id": 81747,
      "title": "How to get 0.9788",
      "comment_count": 70,
      "views": 0,
      "votes": 40
    },
    {
      "id": 88109,
      "title": "Late submission allowed?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 168947,
      "title": "TypeError: can't convert cuda:0 device type tensor to numpy. ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 84056,
      "title": "How to do TTA with PyTorch",
      "comment_count": 10,
      "views": 0,
      "votes": 29
    },
    {
      "id": 128908,
      "title": "Samples Size Question",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 125760,
      "title": "How to reach a score of 1.0",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 122850,
      "title": "Real Test Result",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 114349,
      "title": "How can I conduct a dissertation based on this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 90626,
      "title": "Medium article, code and 15th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 101507,
      "title": "Our Solution",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94199,
      "title": "High Accuracy on train and validation data set, but low accuracy on test data, Why???",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 88016,
      "title": "My 97.23 with DoG, U-net, ResNeXt",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 93552,
      "title": "Local Minimum",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 93126,
      "title": "not enough values to unpack (expected 3, got 0)",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 78925,
      "title": "Model Not Converging When Committing",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 73083,
      "title": "csv files are locked",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 91212,
      "title": "Has anyone used capsnet?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 90152,
      "title": "Train-Test accuracy gap",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 88207,
      "title": "Collaboration on paper writing",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 87397,
      "title": "17th place solution (0.9810 Private PB)",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 87400,
      "title": "24th place solution (0.9801 Private PB)",
      "comment_count": 21,
      "views": 0,
      "votes": 10
    },
    {
      "id": 88089,
      "title": "Dataset Image Quality",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 87367,
      "title": "How I drop from 0.9805 Private LB to 0.974 (113rd Solution)",
      "comment_count": 13,
      "views": 0,
      "votes": 9
    },
    {
      "id": 87656,
      "title": "Does the final competition ranking bear in any weightage towards our kaggle ranks?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 87405,
      "title": "CV for Histopathologic Cancer",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 87194,
      "title": "CAMELYON17",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 87069,
      "title": "Better way to normalize slides?: WSI Normalization",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 86567,
      "title": "People use dirty tricks should be removed",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 85424,
      "title": "How to get LB 1.000",
      "comment_count": 51,
      "views": 0,
      "votes": 5
    },
    {
      "id": 87378,
      "title": "Sharing knowlege",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 84790,
      "title": "Another way to get 0.98+ on LB",
      "comment_count": 20,
      "views": 0,
      "votes": 10
    },
    {
      "id": 86578,
      "title": "The last thing I left for this competition",
      "comment_count": 13,
      "views": 0,
      "votes": 8
    },
    {
      "id": 86657,
      "title": "why upload non-binary answers?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 85283,
      "title": "100% WSI assignment",
      "comment_count": 13,
      "views": 0,
      "votes": 12
    },
    {
      "id": 84964,
      "title": "There are duplicates!",
      "comment_count": 22,
      "views": 0,
      "votes": 9
    },
    {
      "id": 86468,
      "title": "How to leave this competition? ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 84132,
      "title": "How to work with WSI ids",
      "comment_count": 18,
      "views": 0,
      "votes": 18
    },
    {
      "id": 85185,
      "title": "Is WSI really working?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 83313,
      "title": "Ensemble and TTA Can help to boost your score",
      "comment_count": 17,
      "views": 0,
      "votes": 12
    },
    {
      "id": 85149,
      "title": "Accuracy is about 0.856, bug aug score is about 0.94",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 84727,
      "title": "Can't get above 0.85 LB",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 82812,
      "title": "You Should Read this notebook if you want to train model faster on TPU",
      "comment_count": 13,
      "views": 0,
      "votes": 19
    },
    {
      "id": 84903,
      "title": "the score of train set is lower than validation set?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 84706,
      "title": "New Kaggle Kernels are Awful!",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 84737,
      "title": "Fast augmentation library ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 84687,
      "title": "wrong happened when I try using two or three threads for training models",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 80979,
      "title": "Model ensembling for AUC metric",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 78904,
      "title": "Submission deadline",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 83399,
      "title": "Keras Image Generator Bug Troubles -- LB NoseDive",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 81028,
      "title": "Looking to team up",
      "comment_count": 13,
      "views": 0,
      "votes": 4
    },
    {
      "id": 82119,
      "title": "Is it normal to take 30 minutes for one epoch?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 81882,
      "title": "ResNet50 vs other architectures more optimised for small images",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 82542,
      "title": "Looking to team up",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 81050,
      "title": "IMPORTANT NOTICE: Kaggle Downtime",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 77077,
      "title": "Anybody wants to team up?",
      "comment_count": 15,
      "views": 0,
      "votes": 6
    },
    {
      "id": 77138,
      "title": "Moving Data to Colab",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 81272,
      "title": "looking for teams ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 76509,
      "title": "ModelCheckPoint with AUC(Keras)",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 75588,
      "title": "Image Size",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 80661,
      "title": "Use of full training set vs class rebalancing vs class rebalancing + augmentations?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 80415,
      "title": "Do using data augmentation always improve the model performance?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 80912,
      "title": "Explanation of an Application with Neural Networks.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 73383,
      "title": "big performance gap between validation and test",
      "comment_count": 16,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78815,
      "title": "#Histopathologic Cancer Detector (LB 0.958) from @ Greg",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 78537,
      "title": "How to increase further accuracy.",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 77165,
      "title": "Does anyone consider using a attention mechanism?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 74721,
      "title": "Score no better than random, what did I do wrong",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 71918,
      "title": "Sources for domain knowledge and related papers",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 75923,
      "title": "flow_from_... messing up order in submission?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 73927,
      "title": "Rule clarification",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 75797,
      "title": "Training time",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 72433,
      "title": "Which metrics can be used for this task?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    }
  ],
  "errors": []
}