long-range-arena VS attention-is-all-you-need-pytorch

Compare long-range-arena vs attention-is-all-you-need-pytorch and see what are their differences.

long-range-arena

Long Range Arena for Benchmarking Efficient Transformers (by google-research)

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need". (by jadore801120)
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long-range-arena attention-is-all-you-need-pytorch
6 3
682 8,456
2.9% -
0.0 0.0
4 months ago 12 days ago
Python Python
Apache License 2.0 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.

long-range-arena

Posts with mentions or reviews of long-range-arena. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-17.

attention-is-all-you-need-pytorch

Posts with mentions or reviews of attention-is-all-you-need-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-10.
  • ElevenLabs Launches Voice Translation Tool to Break Down Language Barriers
    2 projects | news.ycombinator.com | 10 Oct 2023
    The transformer model was invented to attend to context over the entire sequence length. Look at how the original authors used the Transformer for NMT in the original Vaswani et al publication. https://github.com/jadore801120/attention-is-all-you-need-py...
  • Question: LLMs
    1 project | /r/learnmachinelearning | 6 Jul 2023
    I did implement an "LLM" proof of concept from scratch in a course for my masters, pretty much doing a small implementation of a transformer from the Attention is all you Need paper (plus other resources). It was useless, but was a great experience to understand how it works. There are a few implementation like this out there, like this one: https://github.com/jadore801120/attention-is-all-you-need-pytorch (first google result). I think it is a fun exercise (the amount of fun depends on how much of a masochist you are :) ).
  • Lack of activation in transformer feedforward layer?
    2 projects | /r/learnmachinelearning | 20 May 2021
    I'm curious as to why the second matrix multiplication is not followed by an activation unlike the first one. Is there any particular reason why a non-linearity would be trivial or even avoided in the second operation? For reference, variations of this can be witnessed in a number of different implementations, including BERT-pytorch and attention-is-all-you-need-pytorch.

What are some alternatives?

When comparing long-range-arena and attention-is-all-you-need-pytorch you can also consider the following projects:

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation

HJxB - Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)

BERT-pytorch - Google AI 2018 BERT pytorch implementation

jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

OpenPrompt - An Open-Source Framework for Prompt-Learning.

tldr-transformers - The "tl;dr" on a few notable transformer papers (pre-2022).

allennlp - An open-source NLP research library, built on PyTorch.

elegy - A High Level API for Deep Learning in JAX

transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.