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Thoughts after the CI2026 Hackathon: on good practices for deep learning pipelines

martibosch.github.io · published 8 May 2026

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https://tobifinn.github.io/ci_hackathon_26
tobifinn.github.io
https://github.com/radiradev/1st-place-solution-CI2026
github.com
https://developer.nvidia.com/brev
developer.nvidia.com
https://github.com/tobifinn/CI2026-StarterKit
github.com
https://github.com/martibosch/cookiecutter-data-snake
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https://cookiecutter-data-science.drivendata.org
cookiecutter-data-science.drivendata.org
https://github.com/martibosch/aifs-modal
github.com
https://github.com/martibosch/deepforest-modal-app
github.com
https://brev.nvidia.com
brev.nvidia.com
https://huggingface.co/datasets/tobifinn/CI2026Hackathon
huggingface.co
https://github.com/tobifinn/CI2026-StarterKit/blob/main/starter_kit/baselines/mlp.py
github.com
https://unidata.github.io/MetPy/latest/api/generated/metpy.calc.html
unidata.github.io
https://wandb.ai
wandb.ai
MLflow Read at the source ↗
github.com
https://wandb.ai/site/pricing
wandb.ai
https://github.com/martibosch/CI2026-StarterKit/blob/main/notebooks/visualize_inputs_and_predictions.ipynb
github.com
https://github.com/martibosch/CI2026-StarterKit/blob/main/notebooks/normalization_analysis.ipynb
github.com
https://modal.com
modal.com
https://github.com/martibosch/snakemacs
github.com
https://github.com/astoff/code-cells.el
github.com
https://github.com/emacs-jupyter/jupyter
github.com
https://github.com/renan-r-santos/pixi-kernel
github.com
Jupyter in the Emacs universe Read at the source ↗
martibosch.github.io