Individual skill

ml-training-recipes

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.

plugins/KalarisLabs/research-agent-skills/skills/ml-training-recipes/SKILL.md

Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61

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Observed behavior

Network or broad shell

Last checked

Nov 4, 2026

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