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Accel-GPU – NumPy for the browser GPU
NumPy API on WebGPU with zero shader writing beats TensorFlow.js bloat for compute.
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Phantasm0009
203mo ago
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NumPy for the browser GPU — zero shaders, zero dependencies
5 starsTypeScript
Accel-GPU v1.0 – NumPy for browser GPU
by Phantasm0009·Mar 4, 2026·1 point·1 comment
AI Analysis
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WebGPU NumPy alternative that beats TensorFlow.js on speed and simplicity.
Strengths
- •Shader-free WebGPU API eliminates WGSL boilerplate; built-in conv2d, FFT, matmul kernels
- •Universal fallback stack (WebGPU→WebGL2→CPU) ensures compatibility across Safari, Firefox, Node
- •160KB minified, zero runtime dependencies; Arrow interop for data pipelines
Weaknesses
- •API surface narrower than TensorFlow.js; no pre-trained models or deployment tools
- •Limited community/ecosystem vs. established ML frameworks; early-stage maturity
Category
Target Audience
Frontend developers, AI researchers, data engineers working in the browser
Similar To
TensorFlow.js · GPU.js · Danfo.js
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