pytorch-patterns
A Claude Code plugin covering production PyTorch patterns including custom Dataset and DataLoader optimization, nn.Module design with proper initialization, model surgery for fine-tuning, custom autograd functions, and torch.profiler bottleneck analysis. It provides expert guidance and reusable components for tackling common deep learning engineering challenges like data pipeline optimization, layer freezing strategies, and GPU utilization diagnostics.
Install
Source: https://github.com/Ormus-Solutions/LibreMLOps-Claude-Code/tree/HEAD/plugins/pytorch-patterns
What it's made of
1 command · 1 agent · 1 skill
- Commands
- 1
- Agents
- 1
- Skills
- 1
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
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