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README.md
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HyperConv is a TensorFlow layer that combines local convolution, global hypernetwork-based modulation, and associative memory, designed for efficient long-context representation learning without self-attention.
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- Retrieval and similarity search
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- Long-context sequence modeling
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First released: 2025-12-15 (UTC)
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license: apache-2.0
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HyperConv is a TensorFlow layer that combines local convolution, global hypernetwork-based modulation, and associative memory, designed for efficient long-context representation learning without self-attention.
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- Retrieval and similarity search
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- Long-context sequence modeling
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First released: 2025-12-15 (UTC)
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