Home Projects x-transformers
x-transformers
Python

x-transformers

A concise but complete full-attention transformer with a set of promising experimental features from various papers

by lucidrains · GitHub
Stars
Forks
License
Created
Last commit
Language
artificial-intelligenceattention-mechanismdeep-learningMITPython
View on GitHub
In plain words

Build and experiment with advanced AI models that process text and images using a flexible transformer framework.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
x-transformers — GitHub preview card
📈 Star history
5 9245 919
2026-07-042026-08-31
📈 Track x-transformers

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

A concise but complete full-attention transformer with a set of promising experimental features from various papers

x-transformers has 5.9k stars on GitHub. It has been forked 516 times. x-transformers is written mainly in Python. It has been in active development since 2020. x-transformers is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, deep-learning, transformers.

Frequently asked questions

What is x-transformers?

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Is x-transformers open source?

x-transformers is an open-source project. It is released under the MIT license.

Is x-transformers free?

Yes. x-transformers is free and open source — you can use, modify and self-host it.

What license does x-transformers use?

x-transformers is available under the MIT license.

What language is x-transformers written in?

x-transformers is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — x-transformers

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=lucidrains-x-transformers)](https://olud.ai/project/lucidrains-x-transformers.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
flamingo-pytorch
Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net…
1.3k · artificial-intelligence
sharesattention-mechanismtransformers
TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video class…
729 · artificial-intelligence
sharesattention-mechanismtransformers
PaLM-pytorch
Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling w…
825 · artificial-general-intelligence
sharesattention-mechanismtransformers
MultiModalMamba
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-…
473 · ai
sharesattention-mechanism
sign-language-translator
Python library & framework to build custom translators for the hearing-impaired and translate b…
359 · artificial-intelligence
sharesattention-mechanism
Star-Attention
Efficient LLM Inference over Long Sequences
392 · attention-mechanism
sharesattention-mechanism
Natural_Language_Processing_with_Transformers
Natural Language Processing with Transformers 中译本,最权威Transformers教程
574 · bert
sharestransformers
reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
2.2k · artificial-intelligence
sharesattention-mechanism
fromthetensor
From the Tensor to Stable Diffusion, a rough outline for a 10 week course.
1.1k · deep-learning
sharestransformers
nndl
邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版
19k · attention-mechanism
sharesattention-mechanism

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.