attention-is-all-you-need-pytorch
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| attention-is-all-you-need-pytorch | OpenPrompt | |
|---|---|---|
| 3 | 1 | |
| 8,432 | 4,146 | |
| - | 2.0% | |
| 0.0 | 4.4 | |
| 9 days ago | 3 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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attention-is-all-you-need-pytorch
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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.
OpenPrompt
What are some alternatives?
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
BERT-pytorch - Google AI 2018 BERT pytorch implementation
camel_tools - A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
allennlp - An open-source NLP research library, built on PyTorch.
nlp-recipes - Natural Language Processing Best Practices & Examples
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
chappie.ai - Generalized AI to perform a multitude of tasks written in python3