recurrent-memory-transformer-pytorch
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
Implement a memory-enhanced AI model that can handle very long pieces of information effectively.
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Free · no card · unsubscribe anytimeImplementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
recurrent-memory-transformer-pytorch has 424 stars on GitHub. It has been forked 19 times. recurrent-memory-transformer-pytorch is written mainly in Python. It has been in active development since 2023. recurrent-memory-transformer-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanisms, deep-learning, long-context.
What is recurrent-memory-transformer-pytorch?
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
Is recurrent-memory-transformer-pytorch open source?
recurrent-memory-transformer-pytorch is an open-source project. It is released under the MIT license.
Is recurrent-memory-transformer-pytorch free?
Yes. recurrent-memory-transformer-pytorch is free and open source — you can use, modify and self-host it.
What license does recurrent-memory-transformer-pytorch use?
recurrent-memory-transformer-pytorch is available under the MIT license.
What language is recurrent-memory-transformer-pytorch written in?
recurrent-memory-transformer-pytorch is written mainly in Python.
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