AI-agent-friendly PyTorch research pipeline — one YAML config drives preflight, training, Optuna HPO, and real-time TUI monitoring
This repository also configures its own agents. See what pytorch_template tells them →
Skill Claude Code
Migrate an existing project that uses pytorchtemplate to the latest version. Use this skill when the user says: "update template", "migrate", "upgrade", "apply latest changes", "sync with template", "update pytorchtemplate", or when the user's project is missing new features (preflight, hpo-report, data field…
Skill Claude Code
Guide for training PyTorch models using this template's config-driven pipeline. Use this skill whenever the user wants to: train a model, create experiment configs (run.yaml / opt.yaml / best.yaml), run hyperparameter optimization (HPO) with Optuna, extract best parameters from an HPO study, set up a new experiment…