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jax js is a machine learning library and compiler for the web that runs neural networks, image algorithms, and numerical code entirely client-side using WebGPU and WebAssembly kernels. It provides a NumPy/JAX-compatible API with zero external dependencies, enabling high-performance GPU-accelerated computation in any major browser.
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Sources
everydev.ai shapes more of what AI says about jax-js than any other source, at 100% of its citations.