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Search Pytorch , found 3 results

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Transfer Learning Adaptation Skill

adapting-transfer-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Automates adapting pretrained models via transfer learning by analyzing requirements, generating PyTorch or TensorFlow fine-tuning code, validating data, tracking KPIs, and saving artifacts so you can quickly reuse existing models for new datasets and tasks.

Early Stopping Callback

early-stopping-callback

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for configuring and applying early stopping callbacks across ML training workflows, covering best practices, code generation, and validation for PyTorch, TensorFlow, and scikit-learn experiments.

Single-Cell Generative Toolkit

K-Dense-AI/claude-scientific-skills

Provides Pythonic probabilistic deep models for single-cell genomics, covering RNA, ATAC, multimodal, and spatial data—all with batch correction, uncertainty-aware differential expression, and scanpy-friendly APIs.

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