Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
Quick integration into your workflow with minimal setup
Active open-source community with continuous updates
MIT/Apache licensed for commercial and personal use
Customizable and extendable based on your needs
Download or copy the skill file from the source repository
Place the skill file in Claude's skills directory (usually ~/.claude/skills/）。
Restart Claude or run the reload command to load the skill
Tip: Read the documentation and code carefully before first use to understand functionality and permission requirements
All Skills from open-source community, preserving original authors' copyrights
K-Dense-AI__claude-scientific-skills/scientific-skills/pytorch-lightning/Skill.mdProven benefits and measurable impact
Eliminate manual bias and pick winners in just 5 minutes.
Ensure fair, unbiased draws with verifiable randomization.
Reduce administrative time by half compared to manual selection.
Perfect for these scenarios
Randomly choose winners from follower lists for Instagram giveaways.
Pick top performers from spreadsheets for sales team rewards.
Fairly select recipients from applicant lists for educational grants.
Distribute prizes fairly from attendee sign-ups for local meetups.