🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
-
Updated
May 16, 2024 - Jupyter Notebook
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
A site that displays up to date COVID-19 stats, powered by fastpages.
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
📝 Pytest plugin for testing notebooks
Jupyter Notebook Remote Scheduler for Argo on Kubernetes
Tools for developing pluvial (excess rainfall) and fluvial scenarios for probabilistic flood risk analyses
Example MLOps/ML-training pipeline running with no cloud infrastructure except a public personal (free) Github acount.
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
Clustering Clients for Insiders Loyalty Program.
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:
A Flask Application Utilizing Papermill To Execute NLP Model Which Acts As API Between NodeJS Web Application and NLP Model
Orchestrator to run Notebooks on Dataproc SERVERLESS via Cloud Composer
Example project with a CNN to train a Pokémon type classifier.
A simple template for using MLflow from Papermill
Howto use the automatation for jupyter notebook with papermill and external tasks connected to a process-engine.
Jupyter-Notebook-based workflow powered By Papermill and Github Action
Add a description, image, and links to the papermill topic page so that developers can more easily learn about it.
To associate your repository with the papermill topic, visit your repo's landing page and select "manage topics."