Convert any ML model (ONNX, GGUF, TFLite) into a standalone browser project with hand-written WGSL compute shaders. Zero dependencies, zero frameworks.
Boundary Detection for Web Applications: A Lightweight Browser-Based Approach
Lightweight interactive medical image segmentation via in-context learning. Single dense 2D prompt + interactions → full 3D mask. Runs in-browser.
Browser-side proof of qwen3-asr.wasm and deltanet.wasm. Runs locally in the browser as a voice round-trip.
A JavaScript-based web application demonstrating real-time AI inference in the browser using TensorFlow.js.
qwen3-asr.cpp compiled to WebAssembly for browser-side speech recognition.
llama.cpp compiled to WebAssembly for browser-side LLM inference. DeltaNet/SSM enabled.
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