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1. neural-tablebases neural-tablebases Public

   Deep learning approach to chess tablebase compression using geometric position encoding. Achieves 99.93% accuracy on 3-piece endgames with 79.7x compression ratio vs Syzygy format.

   Rust 1

2. k-alternatives-meta-algorithm k-alternatives-meta-algorithm Public

   k-Alternatives is a stochastic search algorithm designed to optimize combinatorial problems by exploring controlled deviations from a heuristic baseline. Originally designed for the Traveling Sales…

   JavaScript 1

3. segment-sort segment-sort Public

   🧮Block Merge Segment Sort is a novel adaptive sorting algorithm that achieves superior performance on real-world data while maintaining competitive worst-case complexity. It combines segment detect…

   JavaScript 1

4. ripple-insertion ripple-insertion Public

   Ripple Insertion (Recursive Cheapest Insertion) is an experimental algorithm designed for Dynamic Traveling Salesperson Problem (TSP) scenarios. Unlike traditional solvers that calculate a route fr…

   JavaScript 1

5. dge-optimizer dge-optimizer Public

   A memory-efficient, gradient-free zeroth-order (derivative-free) optimizer designed to solve the "Curse of Dimensionality" in Black-Box optimization and memory-constrained Machine Learning. It prov…

   Python

6. seismic-descent seismic-descent Public

   A paradigm-shifting stochastic optimization algorithm that mimics physical earthquakes. Instead of bouncing particles randomly, Seismic Descent cyclically disrupts the geometry of the target landsc…

   Python