Skip to article content
Research Article

Reproducible Machine Learning Workflows for Scientists with Pixi

Back to Article
Acknowledgements
Download Article

Acknowledgements

Acknowledgments

Matthew Feickert is supported by the U.S. National Science Foundation (NSF) under Cooperative Agreement PHY-2323298 (IRIS-HEP) and by the US Research Software Sustainability Institute (URSSI) via grant G-2022-19347 from the Sloan Foundation. Ruben Arts is supported by prefix.dev GmbH. John Kirkham is supported by NVIDIA. The described work Feickert et al., n.d. was created in association with Feickert, 2025.

References
  1. Feickert, M., Arts, R., & Kirkham, J. (n.d.). Reproducible Machine Learning Workflows for Scientists with Pixi. 10.5281/zenodo.16320203
  2. Feickert, M. (2025). Reproducible Machine Learning Workflows for Scientists. https://github.com/carpentries-incubator/reproducible-ml-workflows
Reproducible Machine Learning Workflows for Scientists with Pixi
Reproducible Machine Learning Workflows for Scientists with Pixi
Reproducible Machine Learning Workflows for Scientists with Pixi
Conda packages