takara-ai/go-attention
A pure Go implementation of attention mechanisms and transformer layers for machine learning inference.
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Implements core transformer architecture components (attention mechanisms, transformer layers) in Go. Designed for production AI workloads with SIMD optimization, goroutine-based parallelization, and edge deployment capabilities. Targets developers wanting to run ML inference without Python or external dependencies.
Frequently asked
- What is takara-ai/go-attention?
- A pure Go implementation of attention mechanisms and transformer layers for machine learning inference.
- Is go-attention open source?
- Yes — takara-ai/go-attention is open source, released under the MIT license.
- What language is go-attention written in?
- takara-ai/go-attention is primarily written in Go.
- How popular is go-attention?
- takara-ai/go-attention has 477 stars on GitHub.
- Where can I find go-attention?
- takara-ai/go-attention is on GitHub at https://github.com/takara-ai/go-attention.