The breed project provides a reproducible experimental framework for the paper submission to the NeurIPS 2024 Machine Learning for Physical Sciences workshop. It includes a Snakemake-based workflow for managing and running grid experiments, as well as Nix package manager for full reproducibility. The project includes classes for defining datasets and toy benchmarks, as well as samplers for training neural networks.