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affaan-m

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.

hoyvoh

A workspace prototype following a reproducible framework across environments

ihmorol

Reproducible classical ML baselines for class‑imbalanced intrusion detection on UNSW‑NB15 (binary + multiclass) comparing no balancing, class weighting, and SMOTE with macro‑F1, ROC‑AUC, G‑Mean, and per‑class metrics.

go-go-golems

Cursor-diary is a workflow tool that enables developers to maintain a step-by-step implementation diary for reproducibility and review efficiency.

eighteyes

mesh-builder is a configurable agent mesh skill for building reproducible AI behavior with steering and guiderails, following a core philosophy of minimal complexity.

Adonis0123

staged-changes-review is a skill that utilizes Git diff commands and semantic analysis to review staged changes, ensuring reproducible and accurate results.