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cloudcover95 / JuniorQuant

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JuniorQuant breaks the dependency on heavy-compute data centers. Industry-standard NVIDIA Ising models demand a 700W+ power envelope per node, JuniorQuant stabilizes the same manifolds within a 45W peak limit. An Adaptive Tensor Modulation Loop (ATML); replacing floating-point matrix multiplications with multiplier-free b1.58, a 20x eff. yield

python webgl cython nvidia edge aot parquet svd ztp mlx edge-computing manifold-optimization bitnet fastapi tdv lsing atml
  • Updated Apr 15, 2026
  • Python

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