attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need". (by jadore801120)
attention-is-all-you-need-py
By jadore801120
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| attention-is-all-you-need-pytorch | attention-is-all-you-need-py | |
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| 3 | 1 | |
| 8,456 | - | |
| - | - | |
| 0.0 | - | |
| 13 days ago | - | |
| Python | ||
| MIT License | - |
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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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
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.
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ElevenLabs Launches Voice Translation Tool to Break Down Language Barriers
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...
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Question: LLMs
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 :) ).
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Lack of activation in transformer feedforward layer?
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.
attention-is-all-you-need-py
Posts with mentions or reviews of attention-is-all-you-need-py.
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
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...
What are some alternatives?
When comparing attention-is-all-you-need-pytorch and attention-is-all-you-need-py you can also consider the following projects:
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
BERT-pytorch - Google AI 2018 BERT pytorch implementation
OpenPrompt - An Open-Source Framework for Prompt-Learning.
allennlp - An open-source NLP research library, built on PyTorch.
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
sru - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
attention-is-all-you-need-pytorch vs LFattNet
attention-is-all-you-need-pytorch vs long-range-arena
attention-is-all-you-need-pytorch vs BERT-pytorch
attention-is-all-you-need-pytorch vs OpenPrompt
attention-is-all-you-need-pytorch vs allennlp
attention-is-all-you-need-pytorch vs transformer-pytorch
attention-is-all-you-need-pytorch vs transformers
attention-is-all-you-need-pytorch vs sru