alterlab-pytorch-lightning
CommunityScale ML with PyTorch Lightning workflows.
Software Engineering#logging#pytorch#distributed-training#pytorch-lightning#data-module#lightning-module
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
PyTorch Lightning organizes PyTorch code to reduce boilerplate, automates device and distributed training, and helps teams build scalable ML pipelines with minimal boilerplate.
Core Features & Use Cases
- LightningModule, Trainer, and LightningDataModule structure code for clarity and reuse.
- Built-in logging, callbacks, and distributed training strategies (DDP, FSDP, DeepSpeed) for scalable experiments.
- Real-world use cases include organizing model code, data pipelines, and experiment tracking across devices.
Quick Start
Create a LightningModule, a DataModule, and run trainer.fit(model, datamodule=dm).
Dependency Matrix
Required Modules
torchlightningtorchvision
Components
scriptsreferences
💻 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: alterlab-pytorch-lightning Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-pytorch-lightning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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