sru
attention-is-all-you-need-pytorch
| sru | attention-is-all-you-need-pytorch | |
|---|---|---|
| 1 | 3 | |
| 2,098 | 8,492 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 29 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
sru
-
[D] Language Models for Smaller Languages
This one? Looks like it's easy to use, which is nice!
attention-is-all-you-need-pytorch
-
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...
-
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 :) ).
-
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.
What are some alternatives?
text - Models, data loaders and abstractions for language processing, powered by PyTorch
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
BERT-pytorch - Google AI 2018 BERT pytorch implementation
chicksexer - A Python package for gender classification.
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
allennlp - An open-source NLP research library, built on PyTorch.
liquid_time_constant_networks - Code Repository for Liquid Time-Constant Networks (LTCs)
OpenPrompt - An Open-Source Framework for Prompt-Learning.