)]}'
{
  "id": "07ae27ad6d20b3620b53b8fcc275bb72a1c39909",
  "entries": [
    {
      "mode": 33188,
      "type": "blob",
      "id": "f9c5af4369657ac28bcbcae1dba1e50890b45d98",
      "name": "README.md"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "cce3acad34a49511f09625f0f965df4ab3ea9e66",
      "name": "__init__.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "41f8fc8dc97ac2a38d14f994430c1431736bff77",
      "name": "anomaly_detection"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "69c2eacc593db58cb03c1cf75e08718230647b31",
      "name": "huggingface_language_modeling.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "7d4899cc38d91cb125c3e76ff38d37b427594a38",
      "name": "huggingface_question_answering.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "007f352f9a98a91b3ef689f97fdc1cb903aca766",
      "name": "large_language_modeling"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "dfec4640fdad67bd11587117da48c2850e6eb6d7",
      "name": "milk_quality_prediction_windowing.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "ad3c9c2aa016bf0b979578562fdd3fb40f74889d",
      "name": "multi_language_inference"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "91189b1013b49fa5d0b2c1cfd81c5e0ed9746303",
      "name": "online_clustering"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "0e62ab86543180b9caf6acc3493e1123d23f8cd6",
      "name": "onnx_sentiment_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "c24a6d0a910e14623f546ca0f5a7764b9dda8ac8",
      "name": "pytorch_image_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "787341263fdead5db8c3370abf7f60884cd0cc83",
      "name": "pytorch_image_classification_with_side_inputs.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "5e5f77a679c36edf13a0e492309434a9ba4db552",
      "name": "pytorch_image_segmentation.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "a616998d2c734288e40d3baf14e14ecd655819d6",
      "name": "pytorch_language_modeling.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "18c4c3e653b47b769ad627da2abe8cbf7c435f19",
      "name": "pytorch_model_per_key_image_segmentation.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "755eff17c1634c260f3aed68bad3d3bb989ca365",
      "name": "run_inference_side_inputs.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "7d26ad3d7fb316bc1bac25a542f13a0a96fe115e",
      "name": "runinference_metrics"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "7a75d2c0431286c8457de4cffd01b795fe5edf48",
      "name": "sklearn_examples_requirements.txt"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "0a527e88dec2211d29a39270fa419fcc04d534fd",
      "name": "sklearn_japanese_housing_regression.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "d7d08e294e9db1674b8298f086549a92afa97162",
      "name": "sklearn_mnist_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "b44d775f4ad3ad2c0d7a21d00b41099e817f95a0",
      "name": "tensorflow_imagenet_segmentation.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "bf85bb1aef168bfa6af3310eadef6c17214851b2",
      "name": "tensorflow_mnist_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "ae51f8d9cdea412041358135dd90eb2daf35afb4",
      "name": "tensorflow_mnist_with_weights.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "677d36b9b767a6387a9d66fb240a282b4e0298d6",
      "name": "tensorrt_object_detection.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "a5cda68fd79e44c7636ab863771d954678b76f55",
      "name": "tensorrt_text_classification.py"
    },
    {
      "mode": 16384,
      "type": "tree",
      "id": "5da97f0c174297fe848626b3b5199b416c1fe1b0",
      "name": "tfx_bsl"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "20312e7d3c889a2a15fd42d0983925585a0900a1",
      "name": "vertex_ai_image_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "e587ba87b91b7685af1dd6e0cd6da7381f1572b1",
      "name": "vertex_ai_llm_text_classification.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "2708c0f3d1a141d66e8c59d35facff2789fbfba2",
      "name": "vllm_text_completion.py"
    },
    {
      "mode": 33188,
      "type": "blob",
      "id": "498511a5a2cfd0987bfe6886cde537eda818c70f",
      "name": "xgboost_iris_classification.py"
    }
  ]
}