FLASH-pytorch
Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
Implement a more efficient version of the Transformer model for deep learning tasks.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeImplementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
FLASH-pytorch has 372 stars on GitHub. It has been forked 25 times. FLASH-pytorch is written mainly in Python. It has been in active development since 2022. FLASH-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, deep-learning, efficient-transformers.
What is FLASH-pytorch?
Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
Is FLASH-pytorch open source?
FLASH-pytorch is an open-source project. It is released under the MIT license.
Is FLASH-pytorch free?
Yes. FLASH-pytorch is free and open source — you can use, modify and self-host it.
What license does FLASH-pytorch use?
FLASH-pytorch is available under the MIT license.
What language is FLASH-pytorch written in?
FLASH-pytorch is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lucidrains-flash-pytorch.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.