GitHub - jax-ml/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jax-js: A JavaScript Implementation of Google's JAX Machine Learning Framework for Web Browsers

The article announces jax-js, a new machine learning library for the web that reimplements Google DeepMind's JAX framework in pure JavaScrip

mytorch: Python Automatic Differentiation Library Inspired by PyTorch

mytorch is an open-source Python library that implements automatic differentiation with a PyTorch-like API, using NumPy for computations. Th

Microjax: A Simplified Autograd Engine with Jax-like API

Microjax is a tiny autograd engine with a Jax-like API inspired by Micrograd and JAX, offering a functional style for machine learning. The

Jasmine: A Scalable JAX-Based World Modeling Codebase for Efficient AI Training

Researchers introduce Jasmine, a high-performance JAX-based world modeling codebase designed to scale from single hosts to hundreds of accel

Porting JustHTML HTML5 Parser from Python to JavaScript Using Codex CLI and GPT-5.2

The author describes successfully porting JustHTML, a standards-compliant HTML5 parser originally written in Python, to JavaScript using Cod

GPEmu: A GPU Emulator for Rapid, Low-Cost Deep Learning Prototyping [pdf]