Monogate: Symbolic Math Optimizer Claims 3.4x Speedup on SIREN and NeRF Models

Summary

Monogate is an open-source symbolic math optimizer that targets sin/cos/pow-heavy neural network architectures such as SIREN, NeRF, and Fourier feature networks commonly used in physics-informed ML. The project claims a 3.4× speedup through what it calls BEST (operator routing) and reports a 74% node reduction for sin/cos operations. The project includes an exhaustive sin(x) search across 862K expression trees with N≤8 nodes, phantom attractor analysis, and a live explorer tool. This is a niche