evo-memory
Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.
Train and evaluate memory models for transformers to improve their memory capabilities.
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Free · no card · unsubscribe anytimeCode to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.
evo-memory has 361 stars on GitHub. It has been forked 39 times. evo-memory is written mainly in Python. It has been in active development since 2024. Its main topics are evolutionary-algorithms, large-language-models, machine-learning, transformers.
What is evo-memory?
Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.
Is evo-memory open source?
evo-memory is an open-source project.
Is evo-memory free?
Yes. evo-memory is free and open source — you can use, modify and self-host it.
What language is evo-memory written in?
evo-memory is written mainly in Python.
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