├── .gitmodules ├── CONTRIBUTING.md ├── README.md ├── accelerated_data_processing_examples ├── cudf_pandas_Introduction_to_Exploratory_Data_Analysis.ipynb ├── cudf_pandas_Introduction_to_Time_Series_Data_Analysis.ipynb ├── cudf_pandas_large_string.ipynb ├── cudf_pandas_single_gpu_large_dataset.ipynb ├── multi_gpu_polars_demo.ipynb ├── notebook_list.md ├── nxcg_wikipedia_e2e.ipynb └── polars_gpu_engine_demo.ipynb ├── assets └── contribution_guide.jpg ├── benchmarks └── mortgage │ ├── README.md │ ├── images │ ├── mortgage_sl1.jpg │ └── mortgage_sl2.jpg │ ├── mortgage_e2e.ipynb │ └── utils │ ├── Data_Spec.json │ └── utils.py ├── blogs_notebooks ├── BERTopic diagram.png ├── Managed_memory_demo_in_cudf_pandas.ipynb ├── README.md ├── blog_notebook_for_Stacking_Generalization_with_HPO_Maximize_Accuracy_in_15_Minutes_with_NVIDIA_cuml.ipynb ├── blog_notebook_for_tips_for_data_scientists_to_get_started_with_GPU_acceleration.ipynb ├── video_notebook_for_GPU_Accelerated_Machine_Learning_BERTopic.ipynb ├── video_notebook_for_Get_Started_with_GPU-Accelerated_Machine_Learning.ipynb └── video_notebook_for_Minimizing_Noise_Cluster_for_Topic_Modeling.ipynb ├── documentation_notebooks └── README.md ├── event_notebooks ├── GTC_2021 │ └── credit_scorecard │ │ ├── README.md │ │ ├── cpu │ │ ├── Dockerfile │ │ ├── README.md │ │ ├── __init__.py │ │ ├── data_utils.py │ │ ├── woesc_demo_vehicle_data.ipynb │ │ ├── woesc_utils.py │ │ └── xgbsc_demo_vehicle_data.ipynb │ │ └── gpu │ │ ├── Dockerfile │ │ ├── README.md │ │ ├── __init__.py │ │ ├── woesc_demo_vehicle_data_gpu.ipynb │ │ └── woesc_utils_gpu.py ├── JupyterCon_2020_RAPIDSViz │ ├── .gitignore │ ├── 00 Index and Introduction.ipynb │ ├── 01 Data Inspection and Validation.ipynb │ ├── 02 Exploratory Data Visualization.ipynb │ ├── 03 Data Analysis with Visual Analytics.ipynb │ ├── 04 Explanatory Data Visualization.ipynb │ ├── README.md │ ├── assets │ │ └── dash-style.css │ ├── data │ │ ├── README_data.md │ │ └── dash-style.css │ ├── environment.yml │ └── images │ │ ├── DataLanguage.jpg │ │ ├── DivvyBikesStation_ map.png │ │ ├── PlotlyDash-Dashboard.png │ │ ├── RAPIDS-header-graphic.png │ │ ├── RAPIDS-header.png │ │ ├── RAPIDSwow.gif │ │ ├── README_images.md │ │ ├── census-crop.jpg │ │ ├── census-demo.jpg │ │ ├── cuxfilter_02_dashboard_1.png │ │ ├── cuxfilter_02_dashboard_2.png │ │ ├── cuxfilter_02_dashboard_3.png │ │ ├── cuxfilter_02_dashboard_4.png │ │ ├── dashboard-sketch-ideas.jpg │ │ ├── notebook_04_dashboard_1.png │ │ └── plotly_dashboard_sketch.jpg ├── KDD_2020 │ ├── Presenters.md │ ├── README.md │ ├── img │ │ ├── cybert_workflow.png │ │ ├── microsoft_logo.png │ │ ├── njit_logo.png │ │ ├── nvidia_logo.jpg │ │ └── rapids_logo.png │ ├── kdd_initial_setup.sh │ └── notebooks │ │ ├── Lungs │ │ ├── __pycache__ │ │ │ └── rapids_scanpy_funcs.cpython-37.pyc │ │ ├── hlca_lung_gpu_analysis.ipynb │ │ └── rapids_scanpy_funcs.py │ │ ├── Taxi │ │ ├── NYCTax.ipynb │ │ ├── img │ │ │ └── ny_yellow_cab.jpg │ │ └── nyctaxi_data.py │ │ ├── cybert │ │ ├── cyBERT_training_inference.ipynb │ │ ├── models │ │ │ ├── apache_cased_example_labels.p │ │ │ ├── apache_label_map.txt │ │ │ └── apache_label_map_example.txt │ │ ├── resources │ │ │ ├── bert-base-cased-hash.txt │ │ │ ├── bert-base-cased-vocab.txt │ │ │ └── cybert_workflow.png │ │ └── training_data │ │ │ └── apache_sample_1k.csv │ │ ├── nvtabular │ │ └── rossmann-store-sales-example.ipynb │ │ └── parking │ │ ├── README.md │ │ ├── __patch │ │ └── cuspatial_init_patched.py │ │ └── codes │ │ ├── 1_rapids_seattleParking.ipynb │ │ ├── 2_rapids_seattleParking_graph.ipynb │ │ ├── 3_rapids_seattleParking_parkingNodes.ipynb │ │ ├── config │ │ └── GoogleMapsAPI.cred │ │ └── maps_rendered │ │ ├── map_as_crow_flies.html │ │ ├── map_walk_final.html │ │ └── map_walk_interim.html ├── README.md └── TMLS_2020 │ └── notebooks │ └── Taxi │ ├── Overview-Taxi.ipynb │ ├── img │ └── TMLS.png │ └── nyctaxi_data.py ├── 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