)]}'
{
  "id": "68ff5e1698fc39cf0d56f6e3dc5cfc6a3b3a4454",
  "entries": [
    {
      "mode": 33188,
      "type": "blob",
      "id": "9326af2ab77feb7b8994276ac92cb0600d2793a3",
      "name": "README.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "cce3acad34a49511f09625f0f965df4ab3ea9e66",
      "name": "__init__.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "e827d02358ce4aed4e9350b07c26dfe3919e1edf",
      "name": "anomaly_detection"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "abaab093938e894c512255c877731af11d1f4147",
      "name": "online_clustering"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "1b335dc0b6ab0090b9eb8691a79283e88cb35ec8",
      "name": "pytorch_image_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "cdecb826d6e3f0eefdf31b5fc0443edd0106e9a8",
      "name": "pytorch_image_segmentation.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "b5fabbb1f1e452803d0ff560b2922d904ab49a59",
      "name": "pytorch_language_modeling.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "f445ca3c8b858107ed680894ec1864074982b302",
      "name": "runinference_metrics"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "0d0adb0425a8d967dea0dc1742f40b4be5a3a64d",
      "name": "sklearn_japanese_housing_regression.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "e748166e6fdabe27c7ae811cb75635f779892db9",
      "name": "sklearn_mnist_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "1faf502c71af65ebaafe84c62194b56a4e52537a",
      "name": "tensorrt_object_detection.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "df72d8ede95ed0a8be6a6d3fab0d238b04b05929",
      "name": "tfx_bsl"
    }
  ]
}