Show HN: AI-related Jax module (I hate if)

Category: library

Tags: jax, deep-learning, optimization, numerical-stability, xla

Score: 5.3/10 (Innovation: 5, Technical: 6, Documentation: 6, Utility: 4)

A collection of JAX modules focused on eliminating Python conditional branches in deep learning workflows, using algebraic string manipulation and fused kernel techniques for GPU/TPU efficiency. The project introduces interesting branchless LLRD and numerical stability patterns, though it is very early-stage with no stars or community adoption.

Target audience: backend devs

Repository: https://github.com/PJHkorea/egregore-core-jax · Python · Apache-2.0

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