routing-transformer VS memory-efficient-attention-pyt

Compare routing-transformer vs memory-efficient-attention-pyt and see what are their differences.

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routing-transformer memory-efficient-attention-pyt
1 1
288 -
1.4% -
0.0 -
over 3 years ago -
Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

routing-transformer

Posts with mentions or reviews of routing-transformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-10.
  • Will Transformers Take over Artificial Intelligence?
    5 projects | news.ycombinator.com | 10 Mar 2022
    I would recommend Routing Transformer https://github.com/lucidrains/routing-transformer but the real truth is nothing beats full attention. Luckily, someone recently figured out how to get past the memory bottleneck. https://github.com/lucidrains/memory-efficient-attention-pyt...

memory-efficient-attention-pyt

Posts with mentions or reviews of memory-efficient-attention-pyt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-10.
  • Will Transformers Take over Artificial Intelligence?
    5 projects | news.ycombinator.com | 10 Mar 2022
    I would recommend Routing Transformer https://github.com/lucidrains/routing-transformer but the real truth is nothing beats full attention. Luckily, someone recently figured out how to get past the memory bottleneck. https://github.com/lucidrains/memory-efficient-attention-pyt...

What are some alternatives?

When comparing routing-transformer and memory-efficient-attention-pyt you can also consider the following projects:

conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers

memory-efficient-attention-pytorch - Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Compact-Transformers - Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch

LOGICGUIDE - Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40%

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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
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