A presentation on leveraging Jupyter Notebooks for automating large scale flood risk studies
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Updated
Feb 12, 2019 - HTML
A presentation on leveraging Jupyter Notebooks for automating large scale flood risk studies
Docker image of Netflix's Papermill
Profiles the data, validates the schema and runs data quality checks and produces a report
This repo is for my Medium article: How to use Papermill in Google Colab.
pre-commit hooks for papermill (https://github.com/nteract/papermill)
Run and publish parameterised Jupyter notebooks using Faculty platform
Parametrization and Automated Report Generation using Papermill. Automatic generation of shareable HTML reports from excel files.
Neural style transfer bot for Telegram implemented with Ray Serve, Papermill and AIOGram
Microservice to generate Jupyter reports combining papermill and nbconvert.
Data science workflow demonstration with MLFlow, Papermil, and Jupyter.
Sample notebook and parametrizing it through papermill
Collection of benchmarking code for cta
A PGE for creating areas-of-interest for use with the volcano_anomaly PGE
Notebook-PGE for LSTM Volcano Anomaly detection
Creates a five-day temperature forecast for any group of cities. Forecasts are generated by parameterised jupyter notebooks that run in parallel.
Running jupyter notebooks as pipelines
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