optuna instructions

4 tagged optuna, measured the same way as everything else here.

Axect/pytorch_template

Instructions file

Instructions for Axect/pytorch_template, covering pytorchtemplate, migration skill maintenance rule, when adding a new feature, when modifying an existing feature and development workflow.

10 3mo ago A 331 tokens original MIT

pytorch-migrate

02

Axect/pytorch_template

Skill Claude CodeCodex

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…

10 3mo ago C 78 tokens original MIT

pytorch-train

03

Axect/pytorch_template

Skill Claude CodeCodex

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…

10 3mo ago A 127 tokens original MIT

zerofuse

04

junainfinity/ZeroFuse

MCP server Claude CodeCodexCursor +2

MCP server "zerofuse" as configured in junainfinity/ZeroFuse. Runs locally from the zerofuse Python package.

7 2mo ago A tokens not measured original MIT