Quality Assurance & Testing

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.

Publisher / source

Orchestra-Research/AI-Research-SKILLs (found on skills.sh, an awesome list)

Upstream record

Orchestra-Research/AI-Research-SKILLs

Version

Version 3

Published

2026-11-02

Publication review

Approved for publication

Content fingerprint

1cb661b0d3bac57ffed65075707a9079ac23123a5a597700e85c05e03e166a57