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PyTorch Lightning · Orchestra-Research/AI-Research-SKILLs
4 skills found.
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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Shows how to organize PyTorch training with Lightning's LightningModule and Trainer, covering validation, DDP, callbacks and learning-rate scheduling. | Orchestra-Research/ | 13k | 6 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | Tracks ML experiments, versions models in the MLflow registry and covers deployment and reproducibility, with autologging for common frameworks. | Orchestra-Research/ | 13k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | Explains RWKV, a hybrid that trains in parallel like a GPT and runs inference like an RNN with constant memory per token, plus usage, fine-tuning and troubleshooting. | Orchestra-Research/ | 13k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards. | Orchestra-Research/ | 13k | — | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
