Implementation of Universal Transformer in Pytorch
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Updated
Nov 19, 2018 - Python
Implementation of Universal Transformer in Pytorch
The implementation of Adaptive Computation function used in RNN "https://arxiv.org/pdf/1603.08983.pdf" and Universal Transformer Network "https://arxiv.org/pdf/1807.03819.pdf"
Universal Transformers implementation in PyTorch
Awesome list of papers, code, models and blogs on Looped / recurrent-depth / weight-tied Transformers — depth as a third scaling axis
Unofficial Implementation of Universal Transformer https://arxiv.org/abs/1807.03819
Does the Universal/Looped-Transformer trick (reuse one block N times instead of stacking N) work on Mamba? Weight-shared depth in a state-space model, with honest per-seed results.
Awesome list + deep-dive reports on looped / recurrent-depth transformers (2018-2026): the Loop technology behind GPT-6 Astra. 122 papers, ZH/EN reports, translated PDFs, survey, slides.
Simple from-scratch implementations of transformer-based models that match the state of the art.
Multi strategy logit fusion between Ouro-1.4B (Universal Transformer) and HRM-Text-1B (prefix-LM) for improved text generation
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