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stack-attention-pytorch


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Author: Phil Wang
License: MIT License Copyright (c) 2026 Phil Wang Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in...
Summary: Implementation of Differentiable Stacks for augmenting Transformers / Attention
Latest version: 0.0.12
Required dependencies: einops | torch | torch-einops-utils
Optional dependencies: pytest

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