ml-training-recipes
CommunityRobust PyTorch training recipes for fast results
Software Engineering#debugging#optimization#training#pytorch#mixed-precision#optimizer#lr-scheduling
AuthorTnemo65
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Standardizes and accelerates the creation of PyTorch training workflows by providing battle-tested recipes and a structured template that teams can adapt across domains.
Core Features & Use Cases
- Domain-spanning training recipes covering Loops, Optimizers (AdamW, Muon), LR schedules, mixed precision, and debugging patterns.
- Modular frontmatter and Markdown entry for easy discovery and activation, plus reference materials for rapid experimentation.
- Real-world use cases include onboarding new models, debugging training instabilities, and improving GPU throughput through systematic experimentation.
Quick Start
Initialize a reproducible PyTorch training workflow template you can customize for your domain.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ml-training-recipes Download link: https://github.com/Tnemo65/template/archive/main.zip#ml-training-recipes Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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