A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.

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ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...

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The objective of this task is to integrate a rate limiting mechanism, specifically using the token bucket algorithm, into the MeshHook project’s webhook system. This enhancement is pivotal for ...