{
  "total": 322,
  "topics": [
    {
      "id": 273852,
      "title": "New to Kaggle or Machine Learning? Come Say Hi!",
      "comment_count": 49,
      "views": 0,
      "votes": 83
    },
    {
      "id": 286388,
      "title": " Competition is Finalized - Congratulations to our Winners; Recap",
      "comment_count": 8,
      "views": 0,
      "votes": 30
    },
    {
      "id": 273855,
      "title": "Welcome to the Ventilator Pressure Prediction Challenge!",
      "comment_count": 19,
      "views": 0,
      "votes": 43
    },
    {
      "id": 575776,
      "title": "Ventilator Pressure Prediction: Three Years Later – How Far Have We Come?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 276828,
      "title": "Parameters R and C Explained (2 of 2)",
      "comment_count": 18,
      "views": 0,
      "votes": 148
    },
    {
      "id": 278731,
      "title": "Neural Architecture Search?",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 283918,
      "title": "Meme Thread",
      "comment_count": 64,
      "views": 0,
      "votes": 79
    },
    {
      "id": 277672,
      "title": "Here the steps (code) to move to Google Colab smoothly without downloading datasets ",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 274137,
      "title": "Cross validation and splitting",
      "comment_count": 13,
      "views": 0,
      "votes": 63
    },
    {
      "id": 276083,
      "title": "A Dummy Approach to Improve Your Score (Best Public Notebook)",
      "comment_count": 8,
      "views": 0,
      "votes": 81
    },
    {
      "id": 276850,
      "title": "Hidden test set - will it simulate breaths?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 274717,
      "title": "Getting rid of Tensorflow CUDA warnings",
      "comment_count": 1,
      "views": 0,
      "votes": 33
    },
    {
      "id": 321545,
      "title": "Training data reshaping",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 273974,
      "title": "A simple feature that improved my score",
      "comment_count": 49,
      "views": 0,
      "votes": 205
    },
    {
      "id": 280996,
      "title": "Explaining individual worst predictions",
      "comment_count": 43,
      "views": 0,
      "votes": 74
    },
    {
      "id": 285513,
      "title": "14th place solution multitask LSTM - Team \"no pressure\"",
      "comment_count": 10,
      "views": 0,
      "votes": 56
    },
    {
      "id": 285256,
      "title": "Winner's Writeup!",
      "comment_count": 129,
      "views": 0,
      "votes": 326
    },
    {
      "id": 286396,
      "title": "Can Our Models Harm Patients?",
      "comment_count": 16,
      "views": 0,
      "votes": 62
    },
    {
      "id": 281299,
      "title": "Physics can help you",
      "comment_count": 12,
      "views": 0,
      "votes": 39
    },
    {
      "id": 285330,
      "title": "[3rd Place] Single model scored 0.0975 w/o PID controller",
      "comment_count": 95,
      "views": 0,
      "votes": 221
    },
    {
      "id": 275040,
      "title": "Unzip files on google colab",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 282466,
      "title": "Shouldn’t we stop posting high scoring notebooks at this point?",
      "comment_count": 16,
      "views": 0,
      "votes": 32
    },
    {
      "id": 285402,
      "title": "5th place solution: A thousand Epochs and a Crazy Transformer",
      "comment_count": 33,
      "views": 0,
      "votes": 107
    },
    {
      "id": 285277,
      "title": "Single Model Transformer - LB 0.112 - Gold Medal",
      "comment_count": 53,
      "views": 0,
      "votes": 173
    },
    {
      "id": 285283,
      "title": "#2 Solution: The inverse of a PID controller",
      "comment_count": 33,
      "views": 0,
      "votes": 166
    },
    {
      "id": 285353,
      "title": "9th solution(with github code): Laplace distribution noise likelihood optimization",
      "comment_count": 30,
      "views": 0,
      "votes": 123
    },
    {
      "id": 285299,
      "title": "Top solutions Summery!-constantly updated！",
      "comment_count": 12,
      "views": 0,
      "votes": 26
    },
    {
      "id": 285282,
      "title": "6th-place solution: Single Multi-task LSTM",
      "comment_count": 29,
      "views": 0,
      "votes": 89
    },
    {
      "id": 285336,
      "title": "\"Single\" LSTM model with Magic Features. 0.1093 LB.",
      "comment_count": 21,
      "views": 0,
      "votes": 81
    },
    {
      "id": 287200,
      "title": "[#1 Solution] Blog Post",
      "comment_count": 5,
      "views": 0,
      "votes": 32
    },
    {
      "id": 285278,
      "title": "4th-place solution: Hacking the PID control",
      "comment_count": 7,
      "views": 0,
      "votes": 91
    },
    {
      "id": 285295,
      "title": "20th-place solution : model & multi-task learning",
      "comment_count": 23,
      "views": 0,
      "votes": 42
    },
    {
      "id": 285320,
      "title": "11th Place Writeup - Transformers and Pseudo Label",
      "comment_count": 18,
      "views": 0,
      "votes": 55
    },
    {
      "id": 285395,
      "title": "#16th Place Journey Writeup - No Magik",
      "comment_count": 10,
      "views": 0,
      "votes": 48
    },
    {
      "id": 286755,
      "title": "Apologies to my teammates and all kagglers",
      "comment_count": 10,
      "views": 0,
      "votes": 54
    },
    {
      "id": 275897,
      "title": "[Question] About data collection",
      "comment_count": 5,
      "views": 0,
      "votes": 54
    },
    {
      "id": 285317,
      "title": "Transformer Models and Post Processing",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 285965,
      "title": "[#1 Solution] The code",
      "comment_count": 5,
      "views": 0,
      "votes": 74
    },
    {
      "id": 285917,
      "title": "How to learn and reproduce top solutions?",
      "comment_count": 19,
      "views": 0,
      "votes": 23
    },
    {
      "id": 286540,
      "title": "TPU vs. DGX Station A100",
      "comment_count": 4,
      "views": 0,
      "votes": 26
    },
    {
      "id": 285773,
      "title": "Ventilator TSNE time_step and time_step_diff pulse position modulation",
      "comment_count": 16,
      "views": 0,
      "votes": 7
    },
    {
      "id": 286486,
      "title": "My first medal 🏋🏻",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 287196,
      "title": "Medium blog post with key highlights from this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 287656,
      "title": "Model is predicting nan for the last 64 values",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 286593,
      "title": "Some words of thank you ",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 285639,
      "title": "Key takeaways after reviewing solutions from gold-winning teams",
      "comment_count": 17,
      "views": 0,
      "votes": 59
    },
    {
      "id": 286463,
      "title": "Long journey (8 years) to Kaggle 4x Expert, best Diwali gift ever! ",
      "comment_count": 12,
      "views": 0,
      "votes": 17
    },
    {
      "id": 285435,
      "title": "13th Place - Team UnderPressure",
      "comment_count": 17,
      "views": 0,
      "votes": 72
    },
    {
      "id": 285882,
      "title": "Do Our Models Predict Reality? or PID Controllers?",
      "comment_count": 12,
      "views": 0,
      "votes": 32
    },
    {
      "id": 286802,
      "title": "5th place Approach and Solution Walkthrough and Live Discussion",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 286278,
      "title": "What happend to some teams?",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 285268,
      "title": "so--close yet so far",
      "comment_count": 18,
      "views": 0,
      "votes": 31
    },
    {
      "id": 285298,
      "title": "All Solutions Compilation (Updated)",
      "comment_count": 2,
      "views": 0,
      "votes": 29
    },
    {
      "id": 274176,
      "title": " Best Single Model CV-LB",
      "comment_count": 258,
      "views": 0,
      "votes": 79
    },
    {
      "id": 285716,
      "title": "Fools gold?",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 285254,
      "title": "Close—But No Cigar",
      "comment_count": 25,
      "views": 0,
      "votes": 62
    },
    {
      "id": 285489,
      "title": "Leaderboard finalization expected next week",
      "comment_count": 0,
      "views": 0,
      "votes": 46
    },
    {
      "id": 285275,
      "title": "Congrats to our new Grandmaster and Masters!",
      "comment_count": 4,
      "views": 0,
      "votes": 45
    },
    {
      "id": 282735,
      "title": "Better than median",
      "comment_count": 55,
      "views": 0,
      "votes": 163
    },
    {
      "id": 284956,
      "title": "You Lot Are Incredible!",
      "comment_count": 11,
      "views": 0,
      "votes": 39
    },
    {
      "id": 285270,
      "title": "Thoughts and Efforts from 300+ Place",
      "comment_count": 6,
      "views": 0,
      "votes": 22
    },
    {
      "id": 285231,
      "title": "How much shakeup are you expecting?",
      "comment_count": 17,
      "views": 0,
      "votes": 17
    },
    {
      "id": 284989,
      "title": "Any Simple Model with score <0.13 LB?",
      "comment_count": 18,
      "views": 0,
      "votes": 14
    },
    {
      "id": 284816,
      "title": "What a coincidence!!!!",
      "comment_count": 12,
      "views": 0,
      "votes": 31
    },
    {
      "id": 285568,
      "title": "Time Constant (second) = R * C * 1000? Why is it wrong?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 284767,
      "title": "Waiting..................",
      "comment_count": 7,
      "views": 0,
      "votes": 31
    },
    {
      "id": 285933,
      "title": "The TPU is limited in 20h?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 285263,
      "title": "Shakeup plots",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 285255,
      "title": "Where is magic?",
      "comment_count": 9,
      "views": 0,
      "votes": 15
    },
    {
      "id": 286384,
      "title": "Original team count used for medals levels and ranking points?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 285346,
      "title": "The P of the PID controller",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 283794,
      "title": "Venting frustration ",
      "comment_count": 28,
      "views": 0,
      "votes": 29
    },
    {
      "id": 283825,
      "title": "0.1336 ？ Is that just a stupid behaviour？ they involve cheating and achivement trading！",
      "comment_count": 43,
      "views": 0,
      "votes": 67
    },
    {
      "id": 285265,
      "title": "Anyone try LSTNet?",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 285412,
      "title": "How to be competitive with PyTorch?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 284446,
      "title": "Team \"L S d\" - The Magicians",
      "comment_count": 15,
      "views": 0,
      "votes": 29
    },
    {
      "id": 284642,
      "title": "Hummm what's happening ?",
      "comment_count": 10,
      "views": 0,
      "votes": 14
    },
    {
      "id": 285304,
      "title": "Share you Learnings of this competition here.",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 281314,
      "title": "Transformer-based Multivariate Time Series Representation Learning",
      "comment_count": 15,
      "views": 0,
      "votes": 61
    },
    {
      "id": 284646,
      "title": "An idea that I tried and didn't work, but it can be useful",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 283941,
      "title": "Life story, or a little motivation :-)",
      "comment_count": 14,
      "views": 0,
      "votes": 52
    },
    {
      "id": 285195,
      "title": "What happens when both valves are closed",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 285199,
      "title": "Enforce the suppression of high scoring notebooks as rule?",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 282241,
      "title": "One submit? High score!",
      "comment_count": 21,
      "views": 0,
      "votes": 11
    },
    {
      "id": 284721,
      "title": "Hacking mean absolute error ",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 284374,
      "title": "Blending Algorithms",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 284780,
      "title": "A possible idea to boost the score",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 285257,
      "title": "Data generation library",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 285561,
      "title": "My good FE: Eq of Motion (Volume /C + Flow rate * R/1000) and work of breathing (volume * pressure)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 284302,
      "title": "A huge gap?",
      "comment_count": 10,
      "views": 0,
      "votes": 15
    },
    {
      "id": 283871,
      "title": "Tips and tricks for training better Neural Networks",
      "comment_count": 8,
      "views": 0,
      "votes": 55
    },
    {
      "id": 285124,
      "title": "Predicting change in pressure instead of actual pressure",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 284512,
      "title": " tfa.optimizers.Lookahead with SGD or Adam (improves the learning stability)",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 285300,
      "title": "Why did blend work in PLB???",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 284948,
      "title": "Some custom stuff (callback, validation, discretization with extrapolation, ensembling)",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 278964,
      "title": "To learn or not to learn?",
      "comment_count": 46,
      "views": 0,
      "votes": 130
    },
    {
      "id": 284262,
      "title": "Competitive Tabular Model ",
      "comment_count": 2,
      "views": 0,
      "votes": 18
    },
    {
      "id": 284786,
      "title": "Do we have 100% test data???",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 284195,
      "title": "Why GroupTimeSeriesSplit has poor performance compared to KFold and GroupKFold",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 283982,
      "title": "Translated Mark's Timeseries Transformer to keras - Enjoy! ",
      "comment_count": 3,
      "views": 0,
      "votes": 16
    },
    {
      "id": 285144,
      "title": "Gave it a try with only one feature [ Pressure ]",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 285004,
      "title": "How to get oof pred from TPU/LSTM after shuffle=True?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 281831,
      "title": "Deadline closing. Please vent your frustrations here :) ",
      "comment_count": 15,
      "views": 0,
      "votes": 16
    },
    {
      "id": 284641,
      "title": "Could not list notebooks: Command handler response not valid JSON",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 284017,
      "title": "Upsampling the data?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276599,
      "title": "Parameters R and C Explained (1 of 2)",
      "comment_count": 38,
      "views": 0,
      "votes": 242
    },
    {
      "id": 282719,
      "title": "Lb1336?Error and useless notebook!",
      "comment_count": 17,
      "views": 0,
      "votes": 14
    },
    {
      "id": 281708,
      "title": "Transformers & Time-Series - Papers Summary",
      "comment_count": 7,
      "views": 0,
      "votes": 48
    },
    {
      "id": 284384,
      "title": "Learning speed with various versions.",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 284524,
      "title": "Which tool we should use for big operations for prediction ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 284197,
      "title": "TPU Full Performance ",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 284519,
      "title": "TPU with data in ram vs TPU with data in tfrecord files",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 278360,
      "title": "Trick that i believe can improve the score but I didn't know how to do it",
      "comment_count": 32,
      "views": 0,
      "votes": 11
    },
    {
      "id": 283932,
      "title": "Is this fair in the compeition ?",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 284198,
      "title": "TPU draft or commit?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 284305,
      "title": "Most realistic fold #?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 283939,
      "title": "This is my 1st competition which has medals 🏅",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 280471,
      "title": "Some features that can improve your score",
      "comment_count": 8,
      "views": 0,
      "votes": 30
    },
    {
      "id": 280564,
      "title": "Dealing with outliers (high pressure values)",
      "comment_count": 14,
      "views": 0,
      "votes": 53
    },
    {
      "id": 282652,
      "title": "Publication of very high scoring notebooks - really disgusting!",
      "comment_count": 4,
      "views": 0,
      "votes": 17
    },
    {
      "id": 284140,
      "title": "How to use the sequence forecast to save the cost on ventilators?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 283827,
      "title": "Is it all (mostly) about learning the PIP?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 283799,
      "title": "Why are we using RobustScaler?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 279847,
      "title": "Is it possible to apply any augmentation?",
      "comment_count": 15,
      "views": 0,
      "votes": 14
    },
    {
      "id": 282732,
      "title": "What function do you use to reduce the learning rate?",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 281998,
      "title": "Reduce Memory function may hurt your model",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 280573,
      "title": "How does blending works?",
      "comment_count": 13,
      "views": 0,
      "votes": 6
    },
    {
      "id": 281245,
      "title": "No XGB based approach?",
      "comment_count": 13,
      "views": 0,
      "votes": 10
    },
    {
      "id": 283859,
      "title": "Question About Private LB",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 281811,
      "title": "Output Layer = sigmoid + Lambda for faster converge and better results (idea and help)",
      "comment_count": 13,
      "views": 0,
      "votes": 10
    },
    {
      "id": 282274,
      "title": "TPU: Anyone having #150+ queue?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 283878,
      "title": "Using tpu with tfrecord",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 284053,
      "title": "Increase MXU in tpu  TPU MXU 0.00% Idle Time 95.00%",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 280356,
      "title": "Will the Top Nearest Neighbour Lie?  The Whole Truth and Nothing But The Truth",
      "comment_count": 29,
      "views": 0,
      "votes": 48
    },
    {
      "id": 278362,
      "title": "the custom category loss function for regression task",
      "comment_count": 12,
      "views": 0,
      "votes": 112
    },
    {
      "id": 282027,
      "title": "Features is a key?",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 278935,
      "title": "Some \"data property\" seen after clustering",
      "comment_count": 7,
      "views": 0,
      "votes": 54
    },
    {
      "id": 280712,
      "title": "Time to forget about TPUs",
      "comment_count": 18,
      "views": 0,
      "votes": 22
    },
    {
      "id": 279921,
      "title": "What's going on, Shake-up is waiting for us again?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 280971,
      "title": "Guessing current Gold/Silver notebooks - Features VS Architectures",
      "comment_count": 4,
      "views": 0,
      "votes": 38
    },
    {
      "id": 275037,
      "title": "Google Brain - Ventilator Pressure Prediction - Some great sources to understand the concept",
      "comment_count": 4,
      "views": 0,
      "votes": 25
    },
    {
      "id": 279833,
      "title": "Someone here try to use TCN instead of LSTM?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 282370,
      "title": "Did u_in have a physical unit?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 281659,
      "title": "Anybody trying Neural Controlled Differential Equations ?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 280975,
      "title": "Handling NaN values for Neural Networks",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 282031,
      "title": "Regression Task or Classification Task?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 283948,
      "title": "getting out of range error in tpu   https://www.kaggle.com/rishishounak/vent-6",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 283922,
      "title": "if i do not split data into tfrecord files will I not get the speedup from tpu",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 280709,
      "title": "Some Freaks",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 280306,
      "title": "How to calculate ensemble CV ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 279575,
      "title": "reverse engineering ....",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 277690,
      "title": "Huber Loss as a better MAE loss",
      "comment_count": 49,
      "views": 0,
      "votes": 158
    },
    {
      "id": 280741,
      "title": "Drop the samples with all negative pressures?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 280716,
      "title": "What is your best validation loss with just one model (without kfolds and blending) ?",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276568,
      "title": "Can pytorch scores reach keras?",
      "comment_count": 69,
      "views": 0,
      "votes": 71
    },
    {
      "id": 282132,
      "title": "Teammates🥺",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 281262,
      "title": "1.1854 MAE at 15 epochs with new features derived from R, C - Explanation",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 280650,
      "title": "Dont remove features accoring to their importance reduce their influence",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 281092,
      "title": "Spectral / Fourrier Transform Feature importance",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 280431,
      "title": "Are transformers working for you ?",
      "comment_count": 11,
      "views": 0,
      "votes": 15
    },
    {
      "id": 280657,
      "title": "Beauty in the beast",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 274892,
      "title": "A Thousand Epochs ?",
      "comment_count": 11,
      "views": 0,
      "votes": 18
    },
    {
      "id": 281542,
      "title": "How keep the current cue in TPU?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 280124,
      "title": "Kaggle deleted my dataset with the best models:)",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 281477,
      "title": "TPU queue not coming stuck at starting for more than 30 min! And kaggle gpus better than colab",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 280044,
      "title": "A different approach",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 277561,
      "title": "How To Display LSTM Feature Importance",
      "comment_count": 27,
      "views": 0,
      "votes": 140
    },
    {
      "id": 277241,
      "title": "Model error study",
      "comment_count": 12,
      "views": 0,
      "votes": 33
    },
    {
      "id": 281181,
      "title": "How to find inspiratory phase in dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 275901,
      "title": "EDA about u_in",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 279331,
      "title": "Better Nearest Neighbor / Clustering with Dynamic Time Warping",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 279288,
      "title": "Adding Monte Carlo Dropout To Reduce Prediction Error",
      "comment_count": 2,
      "views": 0,
      "votes": 22
    },
    {
      "id": 280679,
      "title": "What does it mean that some breath_id has pressures are all negative values?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 280961,
      "title": "u_out toggling happens approx at 1sec - Both train and test data",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 279051,
      "title": "How do you cope with the current TPU situation? ",
      "comment_count": 14,
      "views": 0,
      "votes": 15
    },
    {
      "id": 280698,
      "title": "handling \"static\" groupby features for LSTM",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 277882,
      "title": "On Ventilators - their mechanics, controls and ML simulations leveraging differentiable Physics",
      "comment_count": 23,
      "views": 0,
      "votes": 65
    },
    {
      "id": 280373,
      "title": "CPU, GPU, TPU and what is Next?",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 279289,
      "title": "How about adding one more digit?",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 279280,
      "title": "Useful function for reducing memory usage ",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 277353,
      "title": "Accelerate of calculate features using cuDF instead of pandas DataFrame",
      "comment_count": 9,
      "views": 0,
      "votes": 27
    },
    {
      "id": 279480,
      "title": "TPUs are popular right now. You are #53 in the queue. You can wait, try connecting again later, or use another accelerator.",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 280367,
      "title": "Knowledge Distillation?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 279876,
      "title": "train/test feather files with features",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 279602,
      "title": "An easy way to speed up model training",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 279585,
      "title": "Notebook that works on both COLAB and KAGGLE",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 278782,
      "title": "Why Choose SELU Over Linear Activation In the Final Dense Layer",
      "comment_count": 10,
      "views": 0,
      "votes": 18
    },
    {
      "id": 279246,
      "title": "EDA about Pressure with Colored Charts",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 279766,
      "title": "TPU resource",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 279258,
      "title": "Ensemble is good?",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 278205,
      "title": "FOLDS!!! How many is too many?",
      "comment_count": 21,
      "views": 0,
      "votes": 26
    },
    {
      "id": 278488,
      "title": "Visualization of single breaths.",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 279284,
      "title": "Ensembling With Cross Validation",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 279384,
      "title": "Question: At time-step=0.0, Which variables influence the pressure? ",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 273853,
      "title": "Looking for a Team Megathread",
      "comment_count": 127,
      "views": 0,
      "votes": 29
    },
    {
      "id": 277847,
      "title": "understanding of the problem?",
      "comment_count": 13,
      "views": 0,
      "votes": 28
    },
    {
      "id": 278170,
      "title": "How to handle Positional Encoding for transformer",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 279849,
      "title": "Domain Knowledge of the field",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 277615,
      "title": "[Resolved] TF error help - InternalError: Failed to call ThenRnnForward with model config ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 278261,
      "title": "Squeezing everything out of a single pipeline VS Ensemble the hell out uncorrelated \"good\" pipelines?",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 279872,
      "title": "Data preprocessing",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 277868,
      "title": "EDA about: Feature importance",
      "comment_count": 5,
      "views": 0,
      "votes": 27
    },
    {
      "id": 273910,
      "title": "Papers on Ventilator Pressure/Ventilation Control and Machine Learning",
      "comment_count": 14,
      "views": 0,
      "votes": 98
    },
    {
      "id": 278680,
      "title": "An error occurred: Data not found",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 278204,
      "title": "What percentage of the train data are you using for testing purposes?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 278899,
      "title": "Pytorch DataLoader shuffle True?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 278267,
      "title": "Kaggle TPU is much faster than Colab TPU",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 277155,
      "title": "The unreasonable ineffectiveness of drop-outs in certain regression scenarios….potential workarounds & solutions",
      "comment_count": 7,
      "views": 0,
      "votes": 38
    },
    {
      "id": 277793,
      "title": "LOFO feature importance vs Permutation feature for 50 features by LSTM",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 278275,
      "title": "Any success with tabular models?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 279048,
      "title": "Keras error (Failed to call ThenRnnForward)",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 274710,
      "title": "Um..how many ppl are waitting for the TPU right now?",
      "comment_count": 28,
      "views": 0,
      "votes": 55
    },
    {
      "id": 276719,
      "title": "You might get a better score to use dropout=0.0",
      "comment_count": 5,
      "views": 0,
      "votes": 62
    },
    {
      "id": 278589,
      "title": "kaggle kernels output got error in google colab",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 277936,
      "title": "Gaussian Dropout for Pytorch",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 278164,
      "title": "Comparing Permutation Feature Importances ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276138,
      "title": "Ensemble Folds with Median",
      "comment_count": 46,
      "views": 0,
      "votes": 207
    },
    {
      "id": 276981,
      "title": "Your notebook tried to allocate more memory than is available. It has restarted.",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276903,
      "title": "Questions About Ensembling/Weighing and Overfitting LB",
      "comment_count": 4,
      "views": 0,
      "votes": 17
    },
    {
      "id": 277473,
      "title": "How to do feature importance analysis for lstm model? (Seek for an example)",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 276037,
      "title": "Effectiveness of overparameterized models",
      "comment_count": 7,
      "views": 0,
      "votes": 34
    },
    {
      "id": 276409,
      "title": "Combined Feature Engineered Dataset ",
      "comment_count": 10,
      "views": 0,
      "votes": 23
    },
    {
      "id": 276837,
      "title": "why are people using mae as loss",
      "comment_count": 25,
      "views": 0,
      "votes": 7
    },
    {
      "id": 278143,
      "title": "Why is the number of layers a multiple of 8?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 277308,
      "title": "EDA about the Main mode and others",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 278162,
      "title": "A stupid database！",
      "comment_count": 3,
      "views": 0,
      "votes": -15
    },
    {
      "id": 277807,
      "title": "Anyone try bert?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 277695,
      "title": "What does negative value of pressure mean?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 277656,
      "title": "Can not create any new dataset.",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 275039,
      "title": "[Compilation] Good starter notebooks",
      "comment_count": 8,
      "views": 0,
      "votes": 38
    },
    {
      "id": 276075,
      "title": "A small collection of useful information for people coming into this competition.",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 277131,
      "title": "Any general methods for feature engineering？",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 277607,
      "title": "How to Implement CV scheme",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276224,
      "title": "Rage post !!",
      "comment_count": 17,
      "views": 0,
      "votes": 32
    },
    {
      "id": 277604,
      "title": "How to add code to use the GPU of lightgbm?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 277028,
      "title": "Kernels using Robust scaler to normalize",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 276892,
      "title": "Public notebook scores are not showing up",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 277489,
      "title": "How to assign number for each DataFrame : df[i]",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 275092,
      "title": "Taking TabNet by the columns a.k.a. strength in diversity",
      "comment_count": 12,
      "views": 0,
      "votes": 26
    },
    {
      "id": 277291,
      "title": "What determines the pressure when time_step=0?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 276826,
      "title": "Pytorch RAM issue",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 277357,
      "title": "Exploring R and C (beginner-ish) and Error Analysis on 0.157",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 277356,
      "title": "Generalization beyond Overfitting",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 274171,
      "title": "Top scored model is LSTM or Boosting Model?",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 276064,
      "title": "How do you guys tackle a competition?",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 276374,
      "title": "GPU is slower than TPU",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 276209,
      "title": "Welcome to some interesting  school brawl between some titans",
      "comment_count": 9,
      "views": 0,
      "votes": 24
    },
    {
      "id": 277096,
      "title": "What is the warrant of choosing different time steps?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 276431,
      "title": "Similar results using just  10% of data for training and validation as compared to using 60% or more of data. ",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 276332,
      "title": "Breath_id with negative airway pressure",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 276339,
      "title": "Why post a high-scoring Notebook and then close it later",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 277395,
      "title": "are you dropping u_out=1 for training?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 276730,
      "title": "Time series clustering",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 277016,
      "title": "GPU is not working or has a low load",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276985,
      "title": "Ideas or Papers for Ventilator Pressure Data Analysis",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 276186,
      "title": "LSTM or GRU",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 276602,
      "title": "is Single GPU sufficient ,TPUs inflation rate Going North?",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 274244,
      "title": "Potentially problematic samples unless someone explains their origin",
      "comment_count": 10,
      "views": 0,
      "votes": 11
    },
    {
      "id": 275883,
      "title": "is it ok to use different seeds for each fold?",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 276753,
      "title": "How to check your CV score ? ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276895,
      "title": "Question about GRU and gpu",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276179,
      "title": "Switching between CPU / GPU / TPU ? ",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 277157,
      "title": " Any ideas for feature engineering when using NNs?",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 275738,
      "title": "Need Help in mask loss function keras",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276614,
      "title": "TPU Timings...",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276620,
      "title": "help me about test_pressure_data",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276340,
      "title": "Seeking for clarification",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 276604,
      "title": "breath_id and id features",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276313,
      "title": "Improving upon the highest scoring notebook?",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 276563,
      "title": "Probability Rounding to Improve Score?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 275791,
      "title": "Understanding R and C",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 276063,
      "title": "How do people iteratively improve their LB score?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 274144,
      "title": "Why does u_in increase during the expiratory phase?",
      "comment_count": 9,
      "views": 0,
      "votes": 21
    },
    {
      "id": 275952,
      "title": "How does lagging or shifting improve the performance?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 273906,
      "title": "What is the \"expiratory phase\" ?",
      "comment_count": 11,
      "views": 0,
      "votes": 37
    },
    {
      "id": 274095,
      "title": "Different model seeds for Cross-validation folds (UPDATED)",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 275533,
      "title": "Interesting Paper",
      "comment_count": 2,
      "views": 0,
      "votes": 25
    },
    {
      "id": 275703,
      "title": "Custom loss in TensorFlow",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 274941,
      "title": "model.predict() is taking longer than model.fit()",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 276271,
      "title": "What does the features actually mean?",
      "comment_count": 5,
      "views": 0,
      "votes": -2
    },
    {
      "id": 275243,
      "title": "How To Run Experiments Efficiently",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 275135,
      "title": "How to choose number of hidden layers and nodes in NN?",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 276173,
      "title": "How long it takes to predict test set through LSTM?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274346,
      "title": "Which model do you use?",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 274811,
      "title": "TPU on PyTorch",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 275902,
      "title": "Ventilator types",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276196,
      "title": "how is the inference being calculated",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 276533,
      "title": "what does meaning of breath_id?",
      "comment_count": 2,
      "views": 0,
      "votes": -3
    },
    {
      "id": 274424,
      "title": "20 Years of Background",
      "comment_count": 3,
      "views": 0,
      "votes": 109
    },
    {
      "id": 275724,
      "title": "What does negative pressure mean in this context?",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 274891,
      "title": "why people can breath in and breath out at the same time?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 274895,
      "title": "Doubt: Submitting from GitHub",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273894,
      "title": "Should this have been a time series code competition ?",
      "comment_count": 9,
      "views": 0,
      "votes": 23
    },
    {
      "id": 275542,
      "title": "How to reproduce the scores when we use tensorflow or keras codes? ",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 274196,
      "title": "Another simple trick to improve score: shift(2) is better than shift(1)",
      "comment_count": 9,
      "views": 0,
      "votes": 58
    },
    {
      "id": 274562,
      "title": "EDA about time_step and u_out",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 274235,
      "title": "How does the inspiratory phase work and why can't it be modelled physically?",
      "comment_count": 7,
      "views": 0,
      "votes": 26
    },
    {
      "id": 275330,
      "title": "How are the models evaluated?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 275391,
      "title": "Will someone publish the high score pytorch like tensorflow?",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 274479,
      "title": "Cross Validation Strategies - When to use what",
      "comment_count": 1,
      "views": 0,
      "votes": 26
    },
    {
      "id": 275229,
      "title": "Question about improving results? ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274664,
      "title": "Whether use u_out=1 data or not in training and inference phase ",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 275478,
      "title": "Execution in CPU, GPU, TPU or local",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 275274,
      "title": "submission error",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 275301,
      "title": "Welcome, Inquiry about the meaning of columns",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 274345,
      "title": "データについて（日本語訳）",
      "comment_count": 1,
      "views": 0,
      "votes": 30
    },
    {
      "id": 275546,
      "title": "Stacking LSTM ?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 275498,
      "title": "asymmetric loss. High error in the tails",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274405,
      "title": "Awesome Video(s) & Resource(s) For Background on Mechanical Ventilation",
      "comment_count": 3,
      "views": 0,
      "votes": 36
    },
    {
      "id": 273926,
      "title": "Evaluation metrics",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 274148,
      "title": "Gap between cv and lb",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 273930,
      "title": "Lessons learnt from professional experience in Healthcare",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 274334,
      "title": "What are metrics cmH2O/L/S, mL/cmH2O or cmH2O for people who studied non-English chemistry?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 274766,
      "title": "GroupTimeSeriesSplit",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 273883,
      "title": "negative value of target",
      "comment_count": 3,
      "views": 0,
      "votes": 27
    },
    {
      "id": 274975,
      "title": "need some study material to learn tensorflow.",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 274876,
      "title": "Normalization and Whitening for DNN?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 274286,
      "title": "How can we make our Boosting model converge faster?",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 274232,
      "title": "LightGBMError",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 274142,
      "title": "Can we use 'anti causal' methods?",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 274172,
      "title": "Why this metric?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 274179,
      "title": "How is the private score calculated with no code attached?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}