Browse skills

This skill integrates TensorBoard for visualizing machine learning metrics during training, aiding in model debugging and performance analysis.

Leverages Anthropic's Claude to generate, debug, and refine code snippets and development workflows efficiently.

Provides LLMs guidance and assistance for building AI and machine learning applications.

Identifies and suggests fixes for TensorFlow code errors, leveraging snakeo's expertise in debugging deep learning models.

Identifies and suggests fixes for common errors in PyTorch code, streamlining development and improving model performance.

Identifies and suggests fixes for errors in scikit-learn model code, improving accuracy and efficiency.

Provides debugging guidance and assistance for software development workflows.

Nnsight Remote Interpretability analyzes model behavior in real-time across deployed environments, revealing insights for debugging and trust.