Results for any-gpu

Classify GPU's based on their benchmark score in order to provide an adaptive experience.

Write GPU kernels in TypeScript, run on any GPU

The luma.gl core Device API

This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).

[](https://www.npmjs.com/package/stats-gl) [](https://www.npmjs.com/package/st

KTX 2.0 (.ktx2) parser and serializer.

ONNXRuntime Node.js binding

API and CLI for compressing images using the ASTC, ETC, ETC2, BCn (DXTn) and BASIS texture compression standard.

Path tracing renderer and utilities for three.js built on top of three-mesh-bvh.

A simple mocker for testing threaded development

noUiSlider is a lightweight JavaScript range slider.

GPU Accelerated JavaScript

WebGPU for Node.js via Google Dawn

Compressing images using the Basis Universal Supercompressed GPU Texture Codec.

Classify GPU's based on their benchmark score in order to provide an adaptive experience.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

WebGPU for node

Minimal WebGPU shader library

WebGL performance monitor that showing percentage of GPU/CPU load

TypeScript declaration files for deck.gl

Compressing images using the BC1 (DXT1), BC2 (DXT3), BC3 (DXT5), BC4, BC5 & BC7 texture compression standard.

**GPU accelerated image resizer**

Compressing images using the ETC & ETC2 texture compression standard.

A Javascript library for running ONNX models on browsers