{
  "total": 340,
  "topics": [
    {
      "id": 203367,
      "title": "Welcome to our RANZCR CliP Catheter and Line Position Challenge",
      "comment_count": 46,
      "views": 0,
      "votes": 34
    },
    {
      "id": 225528,
      "title": "Deadline extended",
      "comment_count": 16,
      "views": 0,
      "votes": 29
    },
    {
      "id": 222644,
      "title": "Hand-labelled annotations",
      "comment_count": 24,
      "views": 0,
      "votes": 30
    },
    {
      "id": 203344,
      "title": "Looking for a Team Megathread",
      "comment_count": 42,
      "views": 0,
      "votes": 17
    },
    {
      "id": 203346,
      "title": "New to Machine Learning or to Kaggle? Check this out ~",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 203581,
      "title": "Metric update",
      "comment_count": 15,
      "views": 0,
      "votes": 19
    },
    {
      "id": 209846,
      "title": "How to Use Google Colab for Extra TPU/GPU",
      "comment_count": 14,
      "views": 0,
      "votes": 55
    },
    {
      "id": 203360,
      "title": "<Domain knowledge>　English and Japanese",
      "comment_count": 7,
      "views": 0,
      "votes": 89
    },
    {
      "id": 204712,
      "title": "Getting Started With Computer Vision Competitions ! ",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 226633,
      "title": "1st Place Solution",
      "comment_count": 45,
      "views": 0,
      "votes": 159
    },
    {
      "id": 224502,
      "title": "Barlow Twins: Self-Supervised Learning via Redundancy Reduction",
      "comment_count": 10,
      "views": 0,
      "votes": 15
    },
    {
      "id": 272791,
      "title": "Looking for help",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 272790,
      "title": "Single model",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 207775,
      "title": "🥇🥇🩺Winning Solutions of Previous Medical Imaging Kaggle Competitions ☢️☢️",
      "comment_count": 10,
      "views": 0,
      "votes": 70
    },
    {
      "id": 227407,
      "title": "Dual-Head Model with 4-stage Training, 2nd Place Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 34
    },
    {
      "id": 226663,
      "title": "40th Place: A UNet only solution",
      "comment_count": 13,
      "views": 0,
      "votes": 36
    },
    {
      "id": 226616,
      "title": "6th place solution",
      "comment_count": 36,
      "views": 0,
      "votes": 79
    },
    {
      "id": 244184,
      "title": "Need help with Resnet200D model",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 229706,
      "title": "4th place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 44
    },
    {
      "id": 228775,
      "title": "3rd Place Solution [Preferred CLiP]",
      "comment_count": 3,
      "views": 0,
      "votes": 43
    },
    {
      "id": 224000,
      "title": "Keep your interactive session live for 40+ mins",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 232754,
      "title": "Could you share something about your experience with ViT or DeiT?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 227992,
      "title": "Thank you for participating in the RANZCR CliP Catheter and Line Position Challenge",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 227128,
      "title": "1st Place Solution Kernels (small ver.) Released!",
      "comment_count": 7,
      "views": 0,
      "votes": 48
    },
    {
      "id": 226710,
      "title": "💥💥 RANZCR  -- Solutions Compilation 🔥🔥",
      "comment_count": 4,
      "views": 0,
      "votes": 58
    },
    {
      "id": 230033,
      "title": "5th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 31
    },
    {
      "id": 223384,
      "title": "Will ViT(Vision Transformer) survive?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 226288,
      "title": "What could you have done better?",
      "comment_count": 14,
      "views": 0,
      "votes": 19
    },
    {
      "id": 226621,
      "title": "7th Place Solution [RaddbotnaKama 200d]",
      "comment_count": 16,
      "views": 0,
      "votes": 86
    },
    {
      "id": 227741,
      "title": "congratz to XU",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 227387,
      "title": "19th with a nice silver medal, thanks to all my teammates!",
      "comment_count": 12,
      "views": 0,
      "votes": 43
    },
    {
      "id": 226576,
      "title": "Our CV 0.976057 Ensemble Wins!",
      "comment_count": 41,
      "views": 0,
      "votes": 80
    },
    {
      "id": 227103,
      "title": "10th Place Solution",
      "comment_count": 10,
      "views": 0,
      "votes": 30
    },
    {
      "id": 226557,
      "title": "11th Place Solution - Utilizing High resolution, Annotations, and Unlabeled data",
      "comment_count": 33,
      "views": 0,
      "votes": 103
    },
    {
      "id": 226715,
      "title": "23rd Place Solution ",
      "comment_count": 31,
      "views": 0,
      "votes": 42
    },
    {
      "id": 226708,
      "title": "18th Place Solution",
      "comment_count": 21,
      "views": 0,
      "votes": 29
    },
    {
      "id": 226702,
      "title": "19th Place Solution - First Time With NFNets",
      "comment_count": 19,
      "views": 0,
      "votes": 29
    },
    {
      "id": 226693,
      "title": "22nd place solution on a GitHub",
      "comment_count": 12,
      "views": 0,
      "votes": 32
    },
    {
      "id": 226664,
      "title": "71st Place Solution & Code",
      "comment_count": 10,
      "views": 0,
      "votes": 32
    },
    {
      "id": 226622,
      "title": "21st Place Solution : So close Yet So Far",
      "comment_count": 15,
      "views": 0,
      "votes": 33
    },
    {
      "id": 226839,
      "title": "36th Place Solution",
      "comment_count": 11,
      "views": 0,
      "votes": 15
    },
    {
      "id": 226562,
      "title": "is solo winning now becoming difficult?",
      "comment_count": 10,
      "views": 0,
      "votes": 16
    },
    {
      "id": 226618,
      "title": "In Gauss (God) we Trust! 26th place solution",
      "comment_count": 12,
      "views": 0,
      "votes": 37
    },
    {
      "id": 226565,
      "title": "17th place with 16 submissions :)",
      "comment_count": 15,
      "views": 0,
      "votes": 49
    },
    {
      "id": 226595,
      "title": "16th Place Solution",
      "comment_count": 15,
      "views": 0,
      "votes": 28
    },
    {
      "id": 226684,
      "title": "606th place: good CV & ensembling don't make up for mediocre individual models",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 226590,
      "title": "How to shake down from 28 to 80 ))",
      "comment_count": 20,
      "views": 0,
      "votes": 34
    },
    {
      "id": 227445,
      "title": "Silver with a lots of learning!",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 226569,
      "title": "🎉🎉 Congratulations to new Competitons GM 💥💥",
      "comment_count": 15,
      "views": 0,
      "votes": 12
    },
    {
      "id": 226559,
      "title": "140th place solution ",
      "comment_count": 9,
      "views": 0,
      "votes": 15
    },
    {
      "id": 226911,
      "title": "Did you use gradient accumulation to train your models?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 226764,
      "title": "76th Place Simple Solution",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 226561,
      "title": "Solo 60th Place Solution - Forward Ensembling & Pseudo Labeling External Data",
      "comment_count": 13,
      "views": 0,
      "votes": 31
    },
    {
      "id": 226645,
      "title": "the myth of resnet200d",
      "comment_count": 6,
      "views": 0,
      "votes": 29
    },
    {
      "id": 226421,
      "title": "Large CV-LB Gap , the reason for our downfall",
      "comment_count": 20,
      "views": 0,
      "votes": 15
    },
    {
      "id": 226333,
      "title": "A beginner's Journey and Learning from the Best",
      "comment_count": 8,
      "views": 0,
      "votes": 21
    },
    {
      "id": 226612,
      "title": "MVP Award to ammarali32",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 226731,
      "title": "12th on Public, 28th on Private Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 226575,
      "title": "Reveal of last 2 digits",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 226676,
      "title": "Higher input resolution or more models or larger models?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 226560,
      "title": "anyone uses LSTM to get labels of patient sequentially?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 226743,
      "title": "A beginner's introspection and review",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 226936,
      "title": "My takeaway from this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 225383,
      "title": "Anyone facing submission error?",
      "comment_count": 59,
      "views": 0,
      "votes": 52
    },
    {
      "id": 225824,
      "title": "Number of teams has reached 1500!!",
      "comment_count": 11,
      "views": 0,
      "votes": 14
    },
    {
      "id": 226189,
      "title": "Submission issue again???",
      "comment_count": 19,
      "views": 0,
      "votes": 10
    },
    {
      "id": 207183,
      "title": "Lung masks for training data",
      "comment_count": 30,
      "views": 0,
      "votes": 79
    },
    {
      "id": 226145,
      "title": "A reminder to not use fast sub submissions",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 226952,
      "title": "When will the final results be released? ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 226153,
      "title": "Notebook Exceeded Allowed Compute !!",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 226582,
      "title": "Can I get the bronze medal?",
      "comment_count": 3,
      "views": 0,
      "votes": -4
    },
    {
      "id": 226596,
      "title": "Will Private Test Dataset be Released?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 226499,
      "title": "Should I always prepare a holdout subset for validation when beginning a new competition?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 227074,
      "title": "Use softmax function in this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225844,
      "title": "The Journey to Becoming the #1 Kaggle Grandmaster [New Virtual Panel] recorded Mar 9, 2021",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 226521,
      "title": "Are submissions slower today than usual?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225055,
      "title": "Kaggle allows to compete against the Best , Preparing you for every situation",
      "comment_count": 9,
      "views": 0,
      "votes": 54
    },
    {
      "id": 225843,
      "title": "Any tips for training Efficientnets",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 226302,
      "title": "A day to go?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 225445,
      "title": "Fine-Tuning: NIH Chest X-rays vs ImageNet",
      "comment_count": 23,
      "views": 0,
      "votes": 16
    },
    {
      "id": 226510,
      "title": "A different mixup augmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 225266,
      "title": "Meta-Pseudo Labels: Sharing the idea I tried then gave up !",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 226518,
      "title": "What will happen if a submission doesn't finish before ddl?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225692,
      "title": "Anybody \"STILL\" in submission trouble?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 224146,
      "title": "Remove black borders around some CXRs",
      "comment_count": 28,
      "views": 0,
      "votes": 54
    },
    {
      "id": 224935,
      "title": "Can we do a model vote for the least accurate columns？",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 226305,
      "title": "TPU is running slow",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 222563,
      "title": "Your Experiences With NFNet Models",
      "comment_count": 39,
      "views": 0,
      "votes": 18
    },
    {
      "id": 225017,
      "title": "Speeding up keras predictions via tfrecords (or otherwise)",
      "comment_count": 11,
      "views": 0,
      "votes": 8
    },
    {
      "id": 226004,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225598,
      "title": "The inference notebook running from the past 14 hours and it still running ",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 221808,
      "title": "Duplicated images from RANZCR and CHESTX",
      "comment_count": 67,
      "views": 0,
      "votes": 48
    },
    {
      "id": 225679,
      "title": "Sprinkles Augmentation aka Progressive Sprinkles (pip install tf_sprinkles )",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 225700,
      "title": "The best model for training",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 223704,
      "title": "Will it have a Big Shake?",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 223672,
      "title": "Beta for PyTorch with AMD GPUs via ROCm in pytorch 1.8",
      "comment_count": 14,
      "views": 0,
      "votes": 14
    },
    {
      "id": 222626,
      "title": "Small contribution from domain expert",
      "comment_count": 11,
      "views": 0,
      "votes": 22
    },
    {
      "id": 225482,
      "title": "Submission running endlessly for 8 hrs",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 225278,
      "title": "Wrong submission but higher score",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 225569,
      "title": "Is there any limitations in the number of Parallel Submissions?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225399,
      "title": "Submission  error",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 225833,
      "title": "Issue regarding submission",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 225210,
      "title": " RAdam and Yogi outperform Adam : Paper(Optimization of CNN for Imbalanced Classification",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 225799,
      "title": "Is issue happening again",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 224157,
      "title": "Compute resources and results",
      "comment_count": 16,
      "views": 0,
      "votes": 4
    },
    {
      "id": 225544,
      "title": "Additional data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 223695,
      "title": "how to hand label images",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 224623,
      "title": "What is the correct approach to choose a model architecture?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 223984,
      "title": "why segmentation is more difficult",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 224582,
      "title": "Any hard and fast rules on the addition of custom layers",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 224675,
      "title": "Unblur those lines and ETTs",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 225206,
      "title": "tfa.metrics.MultiLabelConfusionMatrix (Computes Multi-label confusion matrix)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 224085,
      "title": "Hardware to train ResNet200D or similar large models?",
      "comment_count": 10,
      "views": 0,
      "votes": 6
    },
    {
      "id": 225010,
      "title": "How can we load data with multiple labels using `flow_from_dataframe`?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 223880,
      "title": "EDA of CVC Normal, Borderline, and Abnormal",
      "comment_count": 3,
      "views": 0,
      "votes": 19
    },
    {
      "id": 225215,
      "title": "NGT Present / Not Present",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 224904,
      "title": "How to import timm module /efficientnet_pytorch or other module without Internet",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 224198,
      "title": "Multi-GPU training issue",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 223734,
      "title": "i make a mistake for pseudo label",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 224412,
      "title": "Pseudolabelling NIH CXRs (notebook)",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 224380,
      "title": "Limits on Training Time for GPU and TPU Notebooks",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 223817,
      "title": "ETT Cropped Model",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 222953,
      "title": "Compute power limitation is so frustrating ^^",
      "comment_count": 18,
      "views": 0,
      "votes": 25
    },
    {
      "id": 223025,
      "title": "Remapping the data back to NIH Chest X-ray dataset",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 207617,
      "title": "Avoid Overfitting Data",
      "comment_count": 5,
      "views": 0,
      "votes": 26
    },
    {
      "id": 220873,
      "title": "@Organizers.  Could we use these external datasets?",
      "comment_count": 2,
      "views": 0,
      "votes": 19
    },
    {
      "id": 217564,
      "title": "ChestX Starting Points",
      "comment_count": 42,
      "views": 0,
      "votes": 48
    },
    {
      "id": 223979,
      "title": "Kaggle notebook running out of memory",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 224410,
      "title": "Can I speed up inference mode?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 224060,
      "title": "timm module",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 221513,
      "title": "Is this multi-label or multi-class?",
      "comment_count": 24,
      "views": 0,
      "votes": 30
    },
    {
      "id": 222313,
      "title": "Does pseudo labeling on public test leads to public LB Overfit?",
      "comment_count": 19,
      "views": 0,
      "votes": 7
    },
    {
      "id": 221918,
      "title": "Multi Class & Multi Label Classficiation ",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 223794,
      "title": "How to make a Independent validation dataset? -Steps!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 223580,
      "title": "What is ResNet200d_\"320\"?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 223266,
      "title": "Submission Scoring Error Output",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 220927,
      "title": "kaggle Competition DevOps : Model -> Data -> Bias",
      "comment_count": 6,
      "views": 0,
      "votes": 50
    },
    {
      "id": 223168,
      "title": "CV and LB mismatch",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 218460,
      "title": "CLAHE preprocessing in tensorflow ops",
      "comment_count": 8,
      "views": 0,
      "votes": 19
    },
    {
      "id": 223788,
      "title": "Independent validation - links to dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 223259,
      "title": "Why Resnet200D",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 223368,
      "title": "EfficientNet7 Inference Notebook in Tensorflow[LB-0.956]",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 222845,
      "title": "Model checkpoints & early stopping: AUC vs valid loss",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 222584,
      "title": "Can you import timm when you are disconnected from the Internet?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 222592,
      "title": "Trust your CV... and a few suggestions",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 223571,
      "title": "Cropping model's weights with PyTorch in 5 lines of code",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 220825,
      "title": "Why so less teams ?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 222630,
      "title": "Making sense from annotations + Starter notebook",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 216275,
      "title": "Measuring the destructiveness of augmentations",
      "comment_count": 13,
      "views": 0,
      "votes": 59
    },
    {
      "id": 222775,
      "title": "About behavior of GroupKFold",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 223020,
      "title": "Why are three channels present in the images?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 222672,
      "title": "An error when calculating AUC score",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 222528,
      "title": "Synthetized images from a domain expert, abnormal ETTs",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220724,
      "title": "A request to kaggle team!!!",
      "comment_count": 12,
      "views": 0,
      "votes": 10
    },
    {
      "id": 222617,
      "title": "why few people are using mix-based aug?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 222795,
      "title": "Any Problem with my Callbacks? Training on 60th Epoch, No Convergence Yet",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 223060,
      "title": "How to use annotation efficiently?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 222542,
      "title": "Public LB best score",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220872,
      "title": "Bounding box annotations of 2.3k tracheostomy tubes",
      "comment_count": 15,
      "views": 0,
      "votes": 37
    },
    {
      "id": 218564,
      "title": "Major learnings or key takeaways of this competition",
      "comment_count": 10,
      "views": 0,
      "votes": 40
    },
    {
      "id": 222163,
      "title": "Vit Training Notebook for RANZCR in Tensorflow",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 221007,
      "title": "5k trachea bifurcation annotation dataset",
      "comment_count": 11,
      "views": 0,
      "votes": 11
    },
    {
      "id": 221159,
      "title": "Insight regarding chestxray14",
      "comment_count": 6,
      "views": 0,
      "votes": 28
    },
    {
      "id": 222389,
      "title": "Partial Annotation Labels",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 218489,
      "title": " Momentum Contrast | Unsupervised learning | Explore Further",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 222377,
      "title": "Trainable Params Way Less Than Non Trainable Params",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 222190,
      "title": "Keras callbacks not saving model on TPU",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 221071,
      "title": "one transformer idea",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 222037,
      "title": "Is it safe to use sample_submission.csv for inference?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 221952,
      "title": "NIH Chest X-rays TFRerods and Usage Experience",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 221826,
      "title": "Why are CVC classes hard to predict?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 221415,
      "title": "Speedup your training by creating your own TFRecord folds",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 221547,
      "title": "Domain Research and Visual Cues",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 221516,
      "title": "Medically, what makes a catheter/line placement 'abnormal'?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 222173,
      "title": "Vit Inference Notebook for RANZCR in Tensorflow",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207577,
      "title": "3-stage training with additional annotation [CV:0.95x]",
      "comment_count": 26,
      "views": 0,
      "votes": 149
    },
    {
      "id": 221117,
      "title": "How to use external dataset?",
      "comment_count": 16,
      "views": 0,
      "votes": 5
    },
    {
      "id": 221010,
      "title": "How to use annotation data",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 221406,
      "title": "Understanding nn.Identity",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 207431,
      "title": "UI suggestions to make it clear when a notebook is copied/forked",
      "comment_count": 1,
      "views": 0,
      "votes": 43
    },
    {
      "id": 221594,
      "title": "Bad annotations ?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 221804,
      "title": "What is the difference between the two results?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211221,
      "title": "Ensembling and stacking to maximize AUC",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 221733,
      "title": "Maximize resources utilization in Kaggle kernel",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 221382,
      "title": "Best strategy to create folds from tfrec.?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 221026,
      "title": "How to convert pytorch pth file to h5 keras file?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 221008,
      "title": "Best strategy to create folds ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 216219,
      "title": "Why CVC is actually your best performing classifier",
      "comment_count": 8,
      "views": 0,
      "votes": 60
    },
    {
      "id": 220079,
      "title": "Abdominal Xrays in Dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 221254,
      "title": "Opportunity to grow together/ earn upvotes!!",
      "comment_count": 7,
      "views": 0,
      "votes": -33
    },
    {
      "id": 220968,
      "title": "How to train all data and get checkpoints?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 219414,
      "title": "Introducing new SOTA model NFNets faster than EfficientNets (Normalizer-free[no BatchNorm!])",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 220804,
      "title": "rules on run time",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 219379,
      "title": "Question: 11 labels individually training and gradient vanishing on certain labels",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220717,
      "title": "Macro AUROC available in Pytorch Lightning master branch",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 210550,
      "title": "Does anyone try focal loss？",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 218857,
      "title": "Notebook execution time",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 218772,
      "title": "How important are annotations?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 218299,
      "title": "How to calculate custom AUC with distributed training(DDP)",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 204950,
      "title": "EfficientNet Keras Baselines (LB 0.957 - single model)",
      "comment_count": 63,
      "views": 0,
      "votes": 148
    },
    {
      "id": 220915,
      "title": "import efficientnet.tfkeras as efn  Error ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 205243,
      "title": "simplest way to use additional annotation to train classifier without segmentation",
      "comment_count": 34,
      "views": 0,
      "votes": 170
    },
    {
      "id": 215834,
      "title": "Ensemble learning question",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211515,
      "title": "Results of using lungs and catheter segmentation as input",
      "comment_count": 12,
      "views": 0,
      "votes": 35
    },
    {
      "id": 217296,
      "title": "17 stage training",
      "comment_count": 5,
      "views": 0,
      "votes": 27
    },
    {
      "id": 220744,
      "title": "Making Successful Submissions",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 212532,
      "title": "Refinement model wo data augmentation ",
      "comment_count": 8,
      "views": 0,
      "votes": 30
    },
    {
      "id": 210016,
      "title": "Other Baseline Scores (SE-ResNeXt, ResNeSt, RegNetY)",
      "comment_count": 26,
      "views": 0,
      "votes": 75
    },
    {
      "id": 212856,
      "title": "Do better ImageNet models really not do better on chest X-rays?",
      "comment_count": 21,
      "views": 0,
      "votes": 42
    },
    {
      "id": 204793,
      "title": "Best Single Model",
      "comment_count": 34,
      "views": 0,
      "votes": 35
    },
    {
      "id": 215212,
      "title": "Best model score",
      "comment_count": 10,
      "views": 0,
      "votes": 7
    },
    {
      "id": 216887,
      "title": "Reason why a person can have CVC(Normal) And CVC(Abnormal) values at the same time?",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 218313,
      "title": "Quarry regarding COLAB 🤷‍♂️",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 210064,
      "title": "wrong annotation",
      "comment_count": 13,
      "views": 0,
      "votes": 38
    },
    {
      "id": 209201,
      "title": "Avoid Overfitting Data using Label Smoothing",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 210733,
      "title": "Question on using external datasets for training",
      "comment_count": 13,
      "views": 0,
      "votes": 22
    },
    {
      "id": 219546,
      "title": "Tpu Usage for intemediate notebooks",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 209964,
      "title": "How to choose a better scheduler?",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 218141,
      "title": "Train 11 different classifiers or a single classifier with 11 labels",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 217287,
      "title": "Attaching Datasets to Competitions",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 218660,
      "title": "cloud training",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210312,
      "title": "[place holder] proof of concept : heatmap generator for for cvc endpoint",
      "comment_count": 9,
      "views": 0,
      "votes": 28
    },
    {
      "id": 218562,
      "title": "Submission format question about probabilities",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 218843,
      "title": "Question about mask",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 216650,
      "title": "How to use larger imgsize such as 640?",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 217613,
      "title": "Format of Tfrec files ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 206795,
      "title": "CV vs LB Score",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 217145,
      "title": "How to interpret increase in both val_loss and val_auc?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 211039,
      "title": "Normalization Constants",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 210880,
      "title": "Major Challenges and Considerations in this competition",
      "comment_count": 10,
      "views": 0,
      "votes": 21
    },
    {
      "id": 209516,
      "title": "Submission Time Longer Than Save Time",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205147,
      "title": "Dear kagglers, this is really disappointing and I'm sure we can do better than this",
      "comment_count": 37,
      "views": 0,
      "votes": 142
    },
    {
      "id": 216323,
      "title": "Train.csv  Table",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 216279,
      "title": "Can a better TPU get better score?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216975,
      "title": "Just make complaints about it.",
      "comment_count": 2,
      "views": 0,
      "votes": -5
    },
    {
      "id": 215453,
      "title": "Confusion regarding Multiclass vs Multilabel Classification Task",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 204638,
      "title": "A simple way to split folds",
      "comment_count": 9,
      "views": 0,
      "votes": 44
    },
    {
      "id": 215327,
      "title": "Is groupkfold a valid cv strategy : Some discussion points",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 215720,
      "title": "how to apply opencv's transformations in tensorflow.",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211335,
      "title": "Is it possible to use private pretrained models for making submission?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 213802,
      "title": "About the class of 'CVC-borderline'!",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 214880,
      "title": "Are CNN's really suited to this task?",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 214999,
      "title": "Segmentation model for catheters",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 215719,
      "title": "Some Ideas for Preprocessing CXR Images...",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211184,
      "title": "Internet connection rule",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 212698,
      "title": "Segmentation supervision: an alternate approach",
      "comment_count": 18,
      "views": 0,
      "votes": 23
    },
    {
      "id": 215286,
      "title": "Patient Overlap, Class Imbalance and Weighted Loss",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205564,
      "title": "tips: rank averaging",
      "comment_count": 12,
      "views": 0,
      "votes": 32
    },
    {
      "id": 213067,
      "title": "Loss function & Activations",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207602,
      "title": "CVC explained - more external data",
      "comment_count": 11,
      "views": 0,
      "votes": 31
    },
    {
      "id": 204690,
      "title": "Is there a loss function that tends to align closely with AUC?",
      "comment_count": 10,
      "views": 0,
      "votes": 11
    },
    {
      "id": 204835,
      "title": " ‎‏‏‎‎[placeholder] LB-0.956 - 5xFold 2xTTA xception-512",
      "comment_count": 31,
      "views": 0,
      "votes": 77
    },
    {
      "id": 213007,
      "title": "tips: better than rank avg",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 212931,
      "title": "CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 211194,
      "title": "one dark magic trick",
      "comment_count": 6,
      "views": 0,
      "votes": 51
    },
    {
      "id": 212692,
      "title": "Notebook sort order seems messed up",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 212914,
      "title": "An Example of Vision Transformer with Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 205419,
      "title": "Training using annotated images of catheters",
      "comment_count": 16,
      "views": 0,
      "votes": 19
    },
    {
      "id": 213301,
      "title": "Incorrect label?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 212935,
      "title": "ROC AUC score",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 211080,
      "title": "Does anyone noticed the data-error(as I think) in class CVC_borderline?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211643,
      "title": "A Facebook AI Resource",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 212019,
      "title": "Our augmented data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 211545,
      "title": "Medical image augmentation ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207228,
      "title": "Tracheal bifurcation points on training data",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 209960,
      "title": "any doctor can explain how to decide cvc placement near the shoulder?",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 208550,
      "title": "Permission to be eligible for prizes if you are under the age of 18",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208482,
      "title": "ETT seems multiclass while NGT and CVC seem multilabel. Why? Useful?",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 210717,
      "title": "Anyone tried 11 binary classifier?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 210548,
      "title": "Is there anyway to accelerate the tensorflow-keras model inferencing?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210606,
      "title": "Annotations",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 207357,
      "title": "Is the private leaderboard accessible?",
      "comment_count": 72,
      "views": 0,
      "votes": 241
    },
    {
      "id": 210372,
      "title": "Contradictory Annotations? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210352,
      "title": "Free Google Cloud Access",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209408,
      "title": "How can I get more kaggle GPU hours? 40hours have used off",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210309,
      "title": "Pseudo Labeling, How to do this for multi-label problem? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 207571,
      "title": "Efficient Submission",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 210029,
      "title": "Deep learning enabled medical computer vision review paper",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209045,
      "title": "score error",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 209838,
      "title": "What are the various sources for this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207754,
      "title": "How to submit results?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208689,
      "title": "Dataset with Stratified-GroupKFold TFRecords",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 209345,
      "title": "Vision Transformer Keras TensorFlow Pytorch",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 207900,
      "title": "Competition Update",
      "comment_count": 0,
      "views": 0,
      "votes": 24
    },
    {
      "id": 206137,
      "title": "Speeding Up-Preprocessing 40%: Lycon vs. Albumentations",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 207230,
      "title": "Multi-Head Approach Baseline [LB: 0.964 now ;) ]",
      "comment_count": 0,
      "views": 0,
      "votes": 85
    },
    {
      "id": 203390,
      "title": "Tip to reduce GPU training time by up to 3x using Tensorflow caching",
      "comment_count": 14,
      "views": 0,
      "votes": 57
    },
    {
      "id": 203339,
      "title": "Is this Competition about Multi-Label Classification?",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 206534,
      "title": "which data augment is effective？",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207740,
      "title": "Wrong Augmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 208162,
      "title": "Issues in Train TFRecord files",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 205208,
      "title": "Multi-Head Approach",
      "comment_count": 15,
      "views": 0,
      "votes": 44
    },
    {
      "id": 205808,
      "title": "[Info]: Attention-based Rectified-Linear-Unit",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 206441,
      "title": "Data-efficient image Transformers (DeiT) - New model by FAIR",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 204776,
      "title": "let's try synthetic data?",
      "comment_count": 11,
      "views": 0,
      "votes": 11
    },
    {
      "id": 207137,
      "title": "How to use segmentation data as a Auxilary data point? ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207195,
      "title": "How to use ranking over multi label? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206842,
      "title": "Inference/Submit Kernel",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207188,
      "title": "Efficiency and out-of-memory issues",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 206536,
      "title": "LB of single fold is 0.956，How can I get 0.960+？ ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 206575,
      "title": "tpu 30 hours per week is not enogh to train model",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 206829,
      "title": "High validation AUC, 0.500 leaderboard score (???)",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 205173,
      "title": "Someone has published a very interesting work: Multi-Attention EfficientNet",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 206699,
      "title": "Mixed Precision Augmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206294,
      "title": "Odd Finding: Weak Neg. ~(-0.31) Correlation btw Data Points to Placement Count",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 206634,
      "title": "submission error when using TTA",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 205818,
      "title": "Resource exhausted: OOM resource allocation error",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206094,
      "title": "is anyone put jpg format traindata to googledriver?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 205885,
      "title": "How far can End2End CNN model can achieve🏆",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205637,
      "title": "New Metric in TensorFlow",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 205421,
      "title": "Getting the data: alternatives to download?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 205798,
      "title": "a question about what makes \"malpositioning\"",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 204790,
      "title": "Domain expert's insights #1 - ETT",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 206056,
      "title": "Using the class_weight argument in tf.keras.model.fit",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 203413,
      "title": "PyTorch Baseline",
      "comment_count": 9,
      "views": 0,
      "votes": 40
    },
    {
      "id": 203348,
      "title": "Papers on Nasogastric Tubes, Malpositioned and ML papers on Catheters",
      "comment_count": 2,
      "views": 0,
      "votes": 22
    },
    {
      "id": 203463,
      "title": "Submission Scoring Error",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 203353,
      "title": "Annotations",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 205416,
      "title": "[!! HELP] Mixed Precision Problem",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205425,
      "title": "How much importance for multi attention efficientnet for RANZCR?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 203375,
      "title": "Question about AUC metric",
      "comment_count": 3,
      "views": 0,
      "votes": 24
    },
    {
      "id": 204951,
      "title": "How many epochs in one fold you use?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 203368,
      "title": "Where is the DICOM file? Or is it jpg only?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205108,
      "title": "AutoML allowed?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 203356,
      "title": "Previous Works For Inspiration",
      "comment_count": 0,
      "views": 0,
      "votes": 26
    },
    {
      "id": 203503,
      "title": "[USEFUL LINKS] How to train models for multi label classification? ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 203354,
      "title": "Global How-To for these types of competitions",
      "comment_count": 2,
      "views": 0,
      "votes": 18
    },
    {
      "id": 203372,
      "title": "Some wrong examples (according to me)",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 204691,
      "title": "The input image size",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 205041,
      "title": "Need help: seresnet50 - Inference failed",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 204945,
      "title": "Model Training goes WRONG! (help)",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205144,
      "title": "Long time ⏳ model training",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 203342,
      "title": "[SEE EDIT] Preprocessed datasets/notebook outputs are prohibited in this competition!",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 203448,
      "title": "TfRecords file",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 204856,
      "title": "X-Ray manipulation with OpenCV ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 203457,
      "title": "challenge problem",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 203518,
      "title": "Summary of My Quick EDA Results",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 204611,
      "title": "Area under the ROC curve explanation for beginners",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 204641,
      "title": "ImageDataGenerator Not Compatible with TPUs?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 203399,
      "title": "Looking for a team member",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    }
  ],
  "errors": []
}