🎌 Two months in, 
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🎌 Two months in, 
https://github.com/takara-ai/go-attention
https://github.com/takara-ai/go-attention
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 has passed 429 stars on GitHub.
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 has passed 429 stars on GitHub.
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We built this library at takara.ai to bring attention mechanisms and transformer layers to Go — in a form that's lightweight, clean, and dependency-free.
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We built this library at takara.ai to bring attention mechanisms and transformer layers to Go — in a form that's lightweight, clean, and dependency-free.
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We’re proud to say that every part of this project reflects what we set out to do.
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We’re proud to say that every part of this project reflects what we set out to do.
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- Pure Go — no external dependencies, built entirely on the Go standard library
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- Pure Go — no external dependencies, built entirely on the Go standard library
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- Core support for DotProductAttention and MultiHeadAttention
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- Core support for DotProductAttention and MultiHeadAttention
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- Full transformer layers with LayerNorm, feed-forward networks, and residual connections
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- Full transformer layers with LayerNorm, feed-forward networks, and residual connections
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- Designed for edge, embedded, and real-time environments where simplicity and performance matter
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- Designed for edge, embedded, and real-time environments where simplicity and performance matter
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Thank you to everyone who has supported this so far — the stars, forks, and feedback mean a lot.
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Thank you to everyone who has supported this so far — the stars, forks, and feedback mean a lot.
🎌 Two months in, https://github.com/takara-ai/go-attention has passed 429 stars on GitHub.

We built this library at takara.ai to bring attention mechanisms and transformer layers to Go — in a form that's lightweight, clean, and dependency-free.

We’re proud to say that every part of this project reflects what we set out to do.

- Pure Go — no external dependencies, built entirely on the Go standard library
- Core support for DotProductAttention and MultiHeadAttention
- Full transformer layers with LayerNorm, feed-forward networks, and residual connections
- Designed for edge, embedded, and real-time environments where simplicity and performance matter

Thank you to everyone who has supported this so far — the stars, forks, and feedback mean a lot.
👍
John6666
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Thomas Nguyen
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Jordan Legg
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