kazuki-irie/hybrid-memory

Official repository for the paper "Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers"

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Experimental

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.

No commits in the last 6 months.

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.

neural-network-research language-modeling reinforcement-learning-research transformer-architecture ai-model-development
No License Stale 6m No Package No Dependents
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Python

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Last pushed

Jun 03, 2025

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