attention-is-all-you-need-pytorch
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| attention-is-all-you-need-pytorch | LFattNet | |
|---|---|---|
| 3 | 1 | |
| 8,432 | 53 | |
| - | - | |
| 0.0 | 0.0 | |
| 8 days ago | over 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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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.
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What are some alternatives?
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
BERT-pytorch - Google AI 2018 BERT pytorch implementation
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
OpenPrompt - An Open-Source Framework for Prompt-Learning.
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
allennlp - An open-source NLP research library, built on PyTorch.
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.