{
  "id": "qotjgh/hms-test",
  "id_no": 51151698,
  "title": "HMS: \uad34\ubb3c\uc774 \ub418\uac70\ub77c -test",
  "code_file": "hms-test.ipynb",
  "language": "python",
  "kernel_type": "notebook",
  "is_private": false,
  "enable_gpu": true,
  "enable_tpu": false,
  "enable_internet": false,
  "keywords": [],
  "dataset_sources": [
    "cdeotte/brain-eeg-spectrograms",
    "cdeotte/brain-eegs",
    "cdeotte/brain-efficientnet-models-v3-v4-v5",
    "cdeotte/brain-efficientnetb2-models-v1",
    "cdeotte/brain-spectrograms",
    "nartaa/eeg-spectrograms",
    "nartaa/efficientnetb-tf-keras",
    "kitsuha/efficientnetb0",
    "kitsuha/efficientnetb1",
    "nartaa/features-head-starter-models",
    "morodertobias/hms-pytorch-baseline-training-dataset",
    "cdeotte/kaggle-kl-div",
    "kitsuha/resnet34d",
    "cdeotte/tf-efficientnet-imagenet-weights"
  ],
  "kernel_sources": [
    "cdeotte/tf-efficientnet-whl-files",
    "yunsuxiaozi/hms-baseline-resnet34d-512-512-training",
    "yunsuxiaozi/hms-baseline-resnet34d-512-512-training-5-folds",
    "morodertobias/hms-pytorch-baseline-training"
  ],
  "competition_sources": [
    "hms-harmful-brain-activity-classification"
  ],
  "model_sources": [],
  "docker_image": "gcr.io/kaggle-private-byod/python@sha256:c0a3d02919e1633a2a6c7926ede6aa7f7139e66e7c49fc0c7170c1ee31300973",
  "machine_shape": "NvidiaTeslaT4"
}