Fairness and bias detection library for Elixir AI/ML systems. Provides comprehensive fairness metrics, bias detection algorithms, and mit...

Request hedging for tail latency reduction in distributed systems. Implements Google's 'Tail at Scale' with adaptive strategies. Reduces ...

Multi-model ensemble prediction with voting strategies for AI reliability. Leverages BEAM parallelism for massively concurrent LLM queries.

Model versioning, artifact storage, and lineage tracking for ML pipelines

Model deployment orchestration with health checking and rollback

Unified ML training infrastructure for Elixir/BEAM

Feedback collection, drift detection, and active learning for ML pipelines