{
  "total": 59,
  "topics": [
    {
      "id": 15413,
      "title": "Announcement: Error in dataset",
      "comment_count": 24,
      "views": 5066,
      "votes": 4,
      "reused": true
    },
    {
      "id": 14997,
      "title": "What is the difference between trial and series?",
      "comment_count": 6,
      "views": 863,
      "votes": null,
      "reused": true
    },
    {
      "id": 15027,
      "title": "Good paper for beginner !",
      "comment_count": 15,
      "views": 2528,
      "votes": 40,
      "reused": true
    },
    {
      "id": 209536,
      "title": "Participating",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 203462,
      "title": "Efficient pytorch Dataset implementation with autodownload",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 16479,
      "title": "Cat & Dog solution ",
      "comment_count": 8,
      "views": 3171,
      "votes": 36,
      "reused": true
    },
    {
      "id": 16617,
      "title": "Team daheimao solution",
      "comment_count": 11,
      "views": 5008,
      "votes": 15,
      "reused": true
    },
    {
      "id": 16595,
      "title": "Team HEDJ solution",
      "comment_count": 2,
      "views": 1867,
      "votes": 12,
      "reused": true
    },
    {
      "id": 16257,
      "title": "Thank you everybody!",
      "comment_count": 5,
      "views": 1589,
      "votes": 10,
      "reused": true
    },
    {
      "id": 16722,
      "title": "How to test the code?",
      "comment_count": 0,
      "views": 463,
      "votes": 0
    },
    {
      "id": 16365,
      "title": "RNN approach",
      "comment_count": 4,
      "views": 2411,
      "votes": 2,
      "reused": true
    },
    {
      "id": 16288,
      "title": "Structure of our best net (HEDJ)",
      "comment_count": 2,
      "views": 1344,
      "votes": 19,
      "reused": true
    },
    {
      "id": 16225,
      "title": "Good luck to Everyone !",
      "comment_count": 15,
      "views": 2275,
      "votes": 9,
      "reused": true
    },
    {
      "id": 16098,
      "title": "Single Model Performance",
      "comment_count": 26,
      "views": 3624,
      "votes": null,
      "reused": true
    },
    {
      "id": 16256,
      "title": "Please publish the true value of the test data and the scoring function",
      "comment_count": 2,
      "views": 689,
      "votes": null,
      "reused": true
    },
    {
      "id": 16177,
      "title": "no submission...?",
      "comment_count": 2,
      "views": 656,
      "votes": null,
      "reused": true
    },
    {
      "id": 16111,
      "title": "1st Submission Deadline",
      "comment_count": 10,
      "views": 1871,
      "votes": null,
      "reused": true
    },
    {
      "id": 16109,
      "title": "Reading from CSV vs SQLite",
      "comment_count": 0,
      "views": 625,
      "votes": 0
    },
    {
      "id": 15961,
      "title": "Is per subject model allowed?",
      "comment_count": 5,
      "views": 1277,
      "votes": null,
      "reused": true
    },
    {
      "id": 16036,
      "title": "Interactive visualization using D3.js",
      "comment_count": 0,
      "views": 570,
      "votes": 4
    },
    {
      "id": 16018,
      "title": "TO Kaggle Admins: handling probabilities greater than 1 and perhaps negative",
      "comment_count": 2,
      "views": 392,
      "votes": null,
      "reused": true
    },
    {
      "id": 16011,
      "title": "One more question about scoring.",
      "comment_count": 2,
      "views": 428,
      "votes": null,
      "reused": true
    },
    {
      "id": 15959,
      "title": "Classifing on the basis of EMG?",
      "comment_count": 7,
      "views": 776,
      "votes": null,
      "reused": true
    },
    {
      "id": 15907,
      "title": "Downsampling and aliasing",
      "comment_count": 6,
      "views": 1228,
      "votes": 2,
      "reused": true
    },
    {
      "id": 15933,
      "title": "AUC for each columns/actions",
      "comment_count": 1,
      "views": 389,
      "votes": null,
      "reused": true
    },
    {
      "id": 15882,
      "title": "basic",
      "comment_count": 2,
      "views": 408,
      "votes": null,
      "reused": true
    },
    {
      "id": 15502,
      "title": "Do the series # imply any information?",
      "comment_count": 11,
      "views": 965,
      "votes": null,
      "reused": true
    },
    {
      "id": 15924,
      "title": "Keras Index Batch Iterator",
      "comment_count": 1,
      "views": 1015,
      "votes": null,
      "reused": true
    },
    {
      "id": 15866,
      "title": "How to handle data with no labels at all",
      "comment_count": 3,
      "views": 433,
      "votes": null,
      "reused": true
    },
    {
      "id": 15846,
      "title": "Why my submissions always have 0.3 or 0.4 AUC scores? ",
      "comment_count": 7,
      "views": 819,
      "votes": null,
      "reused": true
    },
    {
      "id": 15628,
      "title": "Uneven lengths of events?",
      "comment_count": 2,
      "views": 431,
      "votes": 1,
      "reused": true
    },
    {
      "id": 15706,
      "title": "Event File Clarification",
      "comment_count": 2,
      "views": 441,
      "votes": null,
      "reused": true
    },
    {
      "id": 15853,
      "title": "Different number of rows for different subjects",
      "comment_count": 0,
      "views": 237,
      "votes": 0
    },
    {
      "id": 15774,
      "title": "Single Model Performance",
      "comment_count": 4,
      "views": 918,
      "votes": null,
      "reused": true
    },
    {
      "id": 15533,
      "title": "Data leakage and future data -Will disqualify?",
      "comment_count": 6,
      "views": 894,
      "votes": null,
      "reused": true
    },
    {
      "id": 15730,
      "title": "Event with Multiple Categories",
      "comment_count": 7,
      "views": 624,
      "votes": 1,
      "reused": true
    },
    {
      "id": 15681,
      "title": "Unable to upload submission file",
      "comment_count": 1,
      "views": 284,
      "votes": null
    },
    {
      "id": 15307,
      "title": "Can't load file into Ipython",
      "comment_count": 3,
      "views": 1177,
      "votes": null,
      "reused": true
    },
    {
      "id": 15511,
      "title": "Edit an hidden script",
      "comment_count": 4,
      "views": 745,
      "votes": null,
      "reused": true
    },
    {
      "id": 15506,
      "title": "Anyone from Australia wants to team up?",
      "comment_count": 1,
      "views": 308,
      "votes": null,
      "reused": true
    },
    {
      "id": 15446,
      "title": "Using external information.",
      "comment_count": 14,
      "views": 1164,
      "votes": 1,
      "reused": true
    },
    {
      "id": 15480,
      "title": "'Noise' in the EEG data",
      "comment_count": 0,
      "views": 418,
      "votes": 3
    },
    {
      "id": 15465,
      "title": "Leaderboard rescoring?",
      "comment_count": 3,
      "views": 440,
      "votes": 1,
      "reused": true
    },
    {
      "id": 15420,
      "title": "Python Help, please",
      "comment_count": 5,
      "views": 537,
      "votes": 1,
      "reused": true
    },
    {
      "id": 14935,
      "title": "Use of future data",
      "comment_count": 20,
      "views": 2444,
      "votes": 1,
      "reused": true
    },
    {
      "id": 15416,
      "title": "Understanding and preprocessing data",
      "comment_count": 0,
      "views": 409,
      "votes": 0
    },
    {
      "id": 15074,
      "title": "Tool for EEG visualisation",
      "comment_count": 3,
      "views": 814,
      "votes": null,
      "reused": true
    },
    {
      "id": 15318,
      "title": "EEG Pre-processing",
      "comment_count": 1,
      "views": 706,
      "votes": 2,
      "reused": true
    },
    {
      "id": 15341,
      "title": "Decoy data",
      "comment_count": 1,
      "views": 364,
      "votes": null,
      "reused": true
    },
    {
      "id": 15325,
      "title": "Diagram of Electrode Channels",
      "comment_count": 4,
      "views": 753,
      "votes": 1,
      "reused": true
    },
    {
      "id": 15287,
      "title": "feature within a window ",
      "comment_count": 0,
      "views": 321,
      "votes": 0
    },
    {
      "id": 14975,
      "title": "A bit of Neuroscience: CSP, mu & beta suppression with mne-python",
      "comment_count": 10,
      "views": 2475,
      "votes": 16,
      "reused": true
    },
    {
      "id": 15053,
      "title": "Definition of a Frame ",
      "comment_count": 2,
      "views": 605,
      "votes": null,
      "reused": true
    },
    {
      "id": 15051,
      "title": "Clarifications On Rules and Scoring Needed",
      "comment_count": 4,
      "views": 712,
      "votes": null,
      "reused": true
    },
    {
      "id": 15060,
      "title": "More than one action per time in events?",
      "comment_count": 3,
      "views": 531,
      "votes": null,
      "reused": true
    },
    {
      "id": 15057,
      "title": "EEG and Event Alignment tool",
      "comment_count": 0,
      "views": 406,
      "votes": 3
    },
    {
      "id": 15000,
      "title": "Is MATLAB use allowed ?",
      "comment_count": 5,
      "views": 1098,
      "votes": 1,
      "reused": true
    },
    {
      "id": 15015,
      "title": "My First Kaggle Competition",
      "comment_count": 1,
      "views": 649,
      "votes": null,
      "reused": true
    },
    {
      "id": 14984,
      "title": "Scripts for Swag",
      "comment_count": 0,
      "views": 490,
      "votes": 1
    }
  ],
  "errors": []
}