aiming-lab/autoresearchclaw/pytorch-training
Claude Code and agent skill by aiming-lab/autoresearchclaw
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Checking that the SKILL.md file is still in the repository.
Best practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.
Install
npx vskill@latest install aiming-lab/autoresearchclaw/pytorch-trainingSKILL.md
PyTorch Training Best Practice
- Use torch.manual_seed() for reproducibility (set for torch, numpy, random)
- Use DataLoader with num_workers>0 and pin_memory=True for GPU
- Enable cudnn.benchmark=True for fixed input sizes
- Use learning rate schedulers (CosineAnnealingLR or OneCycleLR)
- Implement early stopping based on validation metric
- Log metrics every epoch, save best model checkpoint
- Use torch.no_grad() for evaluation
- Clear gradients with optimizer.zero_grad(set_to_none=True) for efficiency
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingresearchclaw/skills/builtin/tooling/pytorch-training/SKILL.md
Popularity
- Repository stars
- 13,869
- Repository forks
- 1,628
- 7-day trend score
- 48
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