TableMamba is a Mamba-based sequential recommender that encodes a user's interaction history with selective state-space blocks and a multi-interest head of M parallel SSM readers at log-spaced timescales, scoring items by their best-matching interest in O(T).
kyegomez/TableMamba is sitting at #1299 on the trending leaderboard with a pulse of 17/100 with no cross-source channels firing yet — GitHub-stars-only signal so far.
The 7-day star delta is +6 (+—) against a base of 6, a meaningful uptick on its own base. What's actually moving is the AI agent / LLM tooling stack.
Watch-outs: no tagged release on record (treat as pre-stable).
git clone https://github.com/kyegomez/TableMamba.gitThen follow the README in the cloned directory.
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