GitHub
hyperparam-sweep
Systematically search hyperparameter space. Use when tuning learning rate, batch size, or other hyperparameters.
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rHedBull AI Skills
GitHub ↗浏览 rHedBull 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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已收录技能
8收录技能的仓库 Stars 合计
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0平均每个技能的仓库 Stars
0同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
train-debug
Interactive diagnostic workflow for training problems. Use when training is failing, loss is stuck, gradients explode, NaN occurs, or convergence is poor.
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GitHub
train
Execute a neural network training run with mandatory monitoring and best-practice defaults. Use when user wants to train a model, start training, or run a training job.
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GitHub
experiment-plan
Design rigorous experiments before running them. Use when planning experiments, testing hypotheses, or designing ablation studies.
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GitHub
monitor
View training progress in real-time. Use when checking on running training, viewing live metrics, or opening dashboards.
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GitHub
run-validation
Run model validation on a dataset. Use when testing model performance, comparing checkpoints, or running final evaluation.
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GitHub
interpret-curves
Analyze training logs and explain what's happening. Use when reviewing training runs, understanding loss curves, or diagnosing completed training.
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GitHub
scaling-analysis
Run scaling experiments to understand model/data/compute relationships. Use when investigating scaling laws, compute-optimal training, or model size decisions.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。