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lucidrains/titans-pytorch ★ 1982 207 APPLICATION

This repository is an unofficial PyTorch implementation of the Titans architecture from the research paper 'Titans: Learning to Memorize at Test Time'. It provides a library of neural network modules including Neural Memory, Memory-as-Context Transformer, and various attention mechanisms. The codebase consists of modular components that can be used as building blocks for sequence modeling, with training scripts demonstrating language modeling on the enwik8 dataset. The implementation focuses on test-time training mechanisms where the model learns to memorize at inference time through a neural memory module that updates its weights based on incoming sequences.

RATING: 8.9/10 MAINT: active DRIFT: low
#pytorch-library #neural-memory #transformers #test-time-training #attention-mechanisms #deep-learning #language-modeling #research-implementation #artificial-intelligence #long-term-memory
▸ 4 reusable components found
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