#计算机科学#The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
A site that displays up to date COVID-19 stats, powered by fastpages.
A web frontend for scheduling Jupyter notebook reports
📝 Pytest plugin for testing notebooks
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!
Tools for developing pluvial (excess rainfall) and fluvial scenarios for probabilistic flood risk analyses
Learn to run & execute Jupyter Notebooks as a REST API in this series.
Profiles the data, validates the schema and runs data quality checks and produces a report
Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documentation site with more details and demo:
Microservice to generate Jupyter reports combining papermill and nbconvert.
ETL to scrape a real estate website, process house prices and data, and build an ML model of the house prices.
Jupyter Notebook Remote Scheduler for Argo on Kubernetes
#计算机科学#Example project with a CNN to train a Pokémon type classifier.
A simple template for using MLflow from Papermill
Neural style transfer bot for Telegram implemented with Ray Serve, Papermill and AIOGram
Store,Version and Run jupyter notebook via ReST api
Have you seen the movie predator