few-shot-learning-finance

Features and purpose

Use when implementing models that learn from minimal data or need to adapt to new market regimes rapidly. Covers episodic learning, context sets, support and query sequences, zero-shot vs few-shot learning, meta-learning for finance, transfer learning across assets and regimes, and quick adaptation to market changes.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.