Resample using sinc kernels

JupyterLite Xeus kernels

Terminal coding agent with persistent tools, skills, MCP, and kernels

No description provided.

A manager for the filesystem aspects of Juyter kernels

Write OpenCL GPU kernels using plain JavaScript/TypeScript syntax.

Thebe extension library for WASM kernels via JupyterLite

Proving out an API for spawning Jupyter kernels

Basthon - Kernel Loader (utils to load kernels)

BuilderForce Agent Memory — engine layer. TypeScript/WGSL Mamba SSM kernels, model blocks, autograd, training, and BPE tokenizer (zero runtime deps, WebGPU-native).

Shared WebGPU foundation for MathTS — device/context lifecycle, buffer pool, and a generic shader manager (no domain kernels)

JupyterLite loader for Xeus kernels

Jupyterlab extension to detect notebook kernels similarly to how nb_conda_kernel does

A composable browser-native WebGPU inference runtime with cooperative scheduling, tensors, kernels, programs, and route adapters.

AI-native notebook computing environment — real Jupyter kernels, real filesystem, built to be driven by agents (Claude Code / Codex) via MCP

Rollup plugin for creating images filters from Pixel Bender kernels

SIMD UTF-8/UTF-16 for AssemblyScript — a drop-in for String.UTF8 / String.UTF16 with simdutf-derived 128-bit Wasm SIMD kernels.

Mastra sandbox provider backed by wasmagent kernels — WASM isolation with no external infrastructure (alternative to Blaxel/E2B providers)

Packed GPU struct schemas + Babylon include emitters with optional AssemblyScript kernels

Portable mixed-precision math, linear-algebra, & retrieval library with 2000+ SIMD kernels for x86, Arm, RISC-V, LoongArch, Power, & WebAssembly