kazuki-irie/hybrid-memory
Official repository for the paper "Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers"
This project offers a specialized toolkit for researchers and practitioners in machine learning to experiment with advanced neural network architectures. It provides implementations for training models on tasks like language modeling, synthetic algorithmic problems, and reinforcement learning environments. The primary users are machine learning researchers and AI developers working on next-generation transformer models.
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Use this if you are a machine learning researcher or AI developer exploring novel transformer architectures for improved performance in language processing, algorithmic reasoning, or reinforcement learning tasks.
Not ideal if you are an end-user looking for a ready-to-use application or a developer seeking a general-purpose machine learning library for standard model deployment.
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Jun 03, 2025
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