kyegomez/TableMamba
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).
GitHub repository with 9 stars and 0 forks.
Language: Python
Topics: ai, ai-research, attention, deepseek, mamba, ml, pytorch, recommendation, ssms, torch