{
  "total": 38,
  "topics": [
    {
      "id": 357328,
      "title": "PogChamps 3 Has Concluded!",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 353561,
      "title": "Welcome to the Third PogChamp Kaggle Competition!",
      "comment_count": 9,
      "views": 0,
      "votes": 24
    },
    {
      "id": 353666,
      "title": "Competition Dos and Don'ts",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 362326,
      "title": "How well does CLIP models classify corn seeds?",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 359308,
      "title": "How many epochs are too many? 12 positions shakeup.",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 357519,
      "title": " 3rd place Solution : Transformer/Attention Is All You Need",
      "comment_count": 8,
      "views": 0,
      "votes": 18
    },
    {
      "id": 357553,
      "title": "1st Place Solution",
      "comment_count": 44,
      "views": 0,
      "votes": 28
    },
    {
      "id": 357439,
      "title": "7th place solution",
      "comment_count": 11,
      "views": 0,
      "votes": 19
    },
    {
      "id": 357470,
      "title": "2nd place solution",
      "comment_count": 15,
      "views": 0,
      "votes": 17
    },
    {
      "id": 357373,
      "title": "Data Leakage and Overfitting? ",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 357578,
      "title": "5th Place Reflections",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 357321,
      "title": "Leaderboard Shakeup ",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 357417,
      "title": "11th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 357559,
      "title": "Swin to Win - Vision Transformer",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 357324,
      "title": "Sharing code base to train the classifier using TF/Keras",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 357606,
      "title": "Are you signing up for part2 of fast.ai course?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 355887,
      "title": "Someone just made a 1.0 score on their 1st submission. I should give up kaggling 😿",
      "comment_count": 9,
      "views": 0,
      "votes": 23
    },
    {
      "id": 353963,
      "title": "fast.ai resources for solving Image Classification(based on similiar kaggle competition)",
      "comment_count": 7,
      "views": 0,
      "votes": 39
    },
    {
      "id": 357176,
      "title": "Please help with my image augmentation!",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 354728,
      "title": "[CV vs LB]",
      "comment_count": 25,
      "views": 0,
      "votes": 16
    },
    {
      "id": 355791,
      "title": "What should be a optimal image size should be for the training? ",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 355813,
      "title": "Adversarial validation",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 356644,
      "title": "💎Hidden Gem - Mosaic ML explorer",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 355081,
      "title": "Light-related augmentations may not work",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 355964,
      "title": "Code More. Share More. That's how Kagglers Learn and Grow!",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 355939,
      "title": "Regarding Cheating",
      "comment_count": 3,
      "views": 0,
      "votes": 20
    },
    {
      "id": 356142,
      "title": "Kaggle Notebook disconnects and having to train model every time",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 353783,
      "title": "Corn GradCam!",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 355724,
      "title": "How accurate is the train/test set (Public and Private)?",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 355116,
      "title": "public test set distribution",
      "comment_count": 5,
      "views": 0,
      "votes": 14
    },
    {
      "id": 355178,
      "title": "train set label errors",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 354906,
      "title": "How to (NOT) cheat",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 355394,
      "title": "Reproducible runs",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 354703,
      "title": "What I'm doing wrong. Four classes and I picked snippets that are resulting only 2? Tips?",
      "comment_count": 18,
      "views": 0,
      "votes": 9
    },
    {
      "id": 354695,
      "title": "Strange LB patterns",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 354318,
      "title": "Sharing my results",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 354312,
      "title": "Are you awesome ? It's Corn Competition. ",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 353724,
      "title": "Can we use imagenet 22k pretrained models?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    }
  ],
  "errors": []
}