Eduardo Blancas edublancas

Highlights

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1. The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

   Python 3.6k 243

2. Sample projects using Ploomber.

   Jupyter Notebook 87 24

3. ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.

   Python 46 20

4. 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects

   Jupyter Notebook 82 9

5. Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

   Python 467 55

6. YASS: Yet Another Spike Sorter

   Python 70 14