Jupyter Kernels in the Browser

An nteract-based web application with kernels provided by Binder

Agent swarm simulation for structured world modeling with LLMs. Multi-agent worlds with HEXACO personalities, deterministic kernels, runtime tool forging, and reproducible forkable RunArtifacts. Built on AgentOS.

Pure JavaScript SEN client for existing kernels over ether

Type-safety piping paradigram through webstream-kernels.

High-performance CUDA to WebAssembly/WebGPU transpiler with Rust safety - Run GPU kernels in browsers and Node.js

AI kernels for JupyterLite

Alberta Buck core platform (JS): the ChainSession API over Tevm/anvil/testnets with expectation journaling, the agent simulation platform, and the BigInt-native wrappers around the WebAssembly kernels

In-browser WebGPU vector store with custom kernels for fast offline retrieval

Zero-GC halftone + color-separation kernels. SEP1 ships createSeparator/renderAM: an AM (clustered-dot) screen with per-ink angle rotation and moire-as-validation. Reuses lite-color-engine/remap nearest-in-OKLab pick so remap and separate agree by constru

High-performance CUDA to WebAssembly/WebGPU transpiler with Rust safety - Run GPU kernels in browsers and Node.js

simple 1D kernel density estimation (KDE) with gaussian and triangular kernels

Run batches of CPU-bound work on native Rust threads from Node.js — batch kernels (hashing, compression, JSON, sorting, strings) and fused pipelines, with the event loop left free.

WGSL kernel catalog for browser-side machine learning: matmul, softmax, layernorm, attention, and friends. Each kernel ships with a JS reference for conformance + fallback. Independent of any tensor framework.

Pure TypeScript numerical backend for jGDINA.

CLI and AgentSkill to execute code in Jupyter kernels and persist outputs to notebooks

Run batches of CPU-bound work on native Rust threads from Node.js — batch kernels (hashing, compression, JSON, sorting, strings) and fused pipelines, with the event loop left free.

A tool for interacting with Jupyter kernels

OpenCode community plugin that adds robust .ipynb (Jupyter Notebook) support: inspect, read, edit, run, outputs, clean, export, reproducibility reports, and warm kernels.

TensorFlow.js GPU with native sm_120 (Blackwell) kernels — drop-in replacement for @tensorflow/tfjs-node-gpu