Built with PyO3 and Rust, it seamlessly integrates with existing LiteLLM code with zero configuration required. Performance gains are most significant in connection pooling, rate limiting, and ...
A comprehensive anomaly detection system for commercial building HVAC systems. This project simulates realistic HVAC sensor data with labeled faults and implements both rules-based and ML-based ...
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