pytorch-patterns
This plugin provides production-grade PyTorch patterns for custom datasets with augmentation, efficient DataLoader configuration, nn.Module design with proper initialization, model surgery for fine-tuning, custom autograd functions, and torch.profiler bottleneck analysis. The included agent and skills cover weighted sampling for class imbalance, progressive layer unfreezing, custom backward passes, and GPU utilization diagnostics.
Install
Source: https://github.com/HermeticOrmus/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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