One-command determinism + manifest for ML projects.
Project description
ReproKit-ML
One-command determinism + manifest for ML projects.
pip install reprokit-ml
reprokit init --data ./data
reprokit seed --seed 42
reprokit env-freeze
reprokit hash-data ./data --exclude "**/.ipynb_checkpoints/**"
reprokit manifest --config conf/train.yaml
- Deterministic seeds for Torch/TF/JAX (opt-in per framework)
- Environment freeze (pip/conda/poetry/uv) + system/GPU snapshot
- Merkle data hash with fast sampled hashing + cache
- Single manifest.json that binds code commit + env + data + seeds + config
Scope is intentionally narrow: one-command determinism + manifest. Use MLflow/W&B for tracking, DVC for dataset versioning/remotes.
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