Weighted Adaptive Variance-Aware Expert Selection for Speech Enhancement
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Updated
Sep 2, 2026 - Python
Weighted Adaptive Variance-Aware Expert Selection for Speech Enhancement
An LLM inference engine written in pure Rust, designed to run large models on hardware that would normally refuse them.
A TensorFlow Mixture-of-Experts Transformer built from scratch, with rotary attention, sparse routing, trained checkpoints, and dense baselines.
Research code for ProbeRoute, a probe-initialized sparse routing method for frozen-backbone multi-token prediction
TensorFlow mixture-of-experts from scratch: sparse token dispatch, load-balancing ablation, routing diagnostics, trained checkpoints, and CPU benchmarks.
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