├── .ci ├── index.json └── scripts │ ├── enhance_notebook.py │ ├── generate_docs.py │ └── validate_entries.py ├── .github └── workflows │ └── autodoc.yml ├── .gitignore ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── docs └── images │ ├── a2a-diagram.png │ ├── assessing_risks_geospatial_bqml │ ├── bq-regions-wine-product.png │ ├── bqml_cluster_stats.png │ ├── bqml_model_trained.png │ └── cover.jpg │ ├── create-runtime.png │ ├── dataproc_cluster_insights_bigquery │ ├── dataproc-home.png │ ├── dataproc-jobs-architecture.png │ ├── dataproc-jobs-logo.png │ └── dataproc-jobs.png │ ├── delta-jars.png │ ├── edit-index.png │ ├── forecast │ └── gold-forecast.png │ ├── metastore-select.png │ ├── vertex-notebook-templates-list.png │ ├── vertex-notebook-templates.png │ └── vscode-cloud-code.png ├── notebooks ├── analytics │ ├── dataproc_cluster_insights_bigquery.ipynb │ ├── gpu_accelerated_analytics.ipynb │ ├── identifying_customer_segments.ipynb │ ├── image_based_home_search.ipynb │ ├── investigating_poor_product_sales.ipynb │ └── purchase_predictions_spark.ipynb ├── classification │ ├── linear_support_vector_machine │ │ └── predictive_maintenance.ipynb │ ├── logistic_regression │ │ └── wine_quality_classification_mlr.ipynb │ └── multilayer_perceptron_classifier │ │ └── sms_spam_filtering.ipynb ├── forecast │ ├── arima_timesfm_bigquery.ipynb │ └── asset_price_forecast.ipynb ├── generative_ai │ ├── classification │ │ └── toxicity_classification.ipynb │ ├── content_generation │ │ ├── banner_advertising_understanding.ipynb │ │ ├── description_from_video.ipynb │ │ └── product_attributes_from_image.ipynb │ ├── finetuning │ │ └── translation_finetuning.ipynb │ ├── sentiment_analysis │ │ └── sentiment_analysis_movie_reviews.ipynb │ └── summarization │ │ ├── automated_contract_risk_and_compliance_review.ipynb │ │ └── pdf_contracts_summarization.ipynb ├── quickstart │ ├── agent2agent │ │ └── a2a_quickstart.ipynb │ ├── bigframes │ │ └── bigframes_quickstart.ipynb │ ├── 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