ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equations.

differentiable (magneto)hydrodynamics for astrophysics in JAX

A collection of numerical schemes for advection (upwind, centered, MUSCL) with implicit time stepping through a Newton-Krylov method. Meant for testing purposes only.

small & simple 3D fluid simulators for scaling tests

A fully-differentiable compressible reacting flow solver based on JAX-AMR

A JAX-based adaptive mesh refinement framework

A differentiable PDE solving framework for machine learning

🌋🐎 Project Island is an experimental, hot-reloading Vulkan Renderer for Linux and Windows, written in C/C++.

A lens editor and simulator for fun.

📈 Adaptive: parallel active learning of mathematical functions

Python package for visualising 2D vector fields

A clean customizable documentation theme for Sphinx

2D Lighting using Radiance Cascades

High performance UI layout library in C.

ALIEN is a CUDA-powered artificial life simulation program.

Making it easier to work with shaders

Patterns and behaviors for GPU computing

Schedule-Free Optimization in PyTorch

Images for Devcontainer development.

Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering

public domain deflate+inflate implementation

A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines

LMpyMilne: LMfit Inversion in a Milne-Eddington atmosphere (in python)

OpenVDB - Sparse volume data structure and tools

💾 C++ & Python API for Scientific I/O

A flyweight in situ visualization and analysis runtime for multi-physics HPC simulations

Portable and vendor neutral framework for parallel programming on heterogeneous platforms.

Lock free hierarchical work scheduler

A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML