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<h1><a href="https://nn.labml.ai/transformers/fast_weights/index.html">Fast weights transformer</a></h1>
<p>This is an annotated implementation of the paper
<a href="https://arxiv.org/abs/2102.11174">Linear Transformers Are Secretly Fast Weight Memory Systems in PyTorch</a>.</p>
<p>Here is the <a href="https://nn.labml.ai/transformers/fast_weights/index.html">annotated implementation</a>.
Here are <a href="https://nn.labml.ai/transformers/fast_weights/experiment.html">the training code</a>
and a notebook for training a fast weights transformer on the Tiny Shakespeare dataset.</p>
<p><a href="https://colab.research.google.com/github/lab-ml/nn/blob/master/labml_nn/transformers/fast_weights/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://app.labml.ai/run/928aadc0846c11eb85710242ac1c0002"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a></p>
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