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lisense : 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.

Primary use cases:
- Embedding models
- Retrieval and similarity search
- Long-context sequence modeling

First released: 2025-12-15 (UTC)