/ml-training-recipes
經實戰驗證的 PyTorch 訓練配方，涵蓋 LLM、視覺、擴散、醫學影像、蛋白質與藥物探索、基因體。含訓練迴圈、optimizer 選擇、學習率排程、混合精度與除錯。
- 安裝次數
- 947
- 專案星數
- 1.4 萬 ★
- 授權
- MIT
- 專案更新
- 2026-10-11
怎麼裝
npx skills add https://github.com/Orchestra-Research/AI-Research-SKILLs --skill ml-training-recipes安裝前請先看過原文內容。中文說明是 AI 翻譯，不保證安全。
原文
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.