adirondax#
⚠️ Adirondax is currently being built and is not yet ready for use. Check back later! ⚠️
Differentiable Physics
Solvers in Adirondax are fully differentiable, enabling gradient-based inference, parameter optimization, and coupling to ML models directly through the simulation.
Scalable Performance
Built with JAX, Adirondax scales on multiple GPUs/TPUs, allowing large-scale simulations to run efficiently on modern accelerators.
Modular & Composable
Adirondax physics modules and processing tools are composable, making it easy to extend or embed into larger workflows.
Installation
Quickstart
Examples
Getting Started
Tutorials & Examples
References