GPU-accelerated differentiable sparse linear solver library for JAX
☆35Jul 28, 2026Updated this week
Alternatives and similar repositories for JAX-AMG
Users that are interested in JAX-AMG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SParse lINear solvers in JAX☆52Jul 23, 2026Updated last week
- JAXMg: A multi-GPU linear solver in JAX☆58Updated this week
- Efficient GPU-computing simulation platform for differentiable phase field model☆25Apr 14, 2026Updated 3 months ago
- Automatic Sparse Differentiation in JAX.☆37Jul 24, 2026Updated last week
- JAX library for neural operator and PDE foundation model training.☆25Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A simulation node in your JAX workflow.☆89Jul 15, 2026Updated 2 weeks ago
- Prototype for sparse automatic differentiation in JAX + Julia☆24Jun 17, 2025Updated last year
- Spectral / Galerkin / PINNs experimentation toolkit built on top of JAX for fast differentiable ODE / PDE prototyping, variational forms,…☆20Jul 28, 2026Updated last week
- Simple walkthrough tutorial for getting started with petsc4py☆41Sep 13, 2011Updated 14 years ago
- Training methodologies for autoregressive neural operators/emulators in JAX.☆14Jun 1, 2026Updated 2 months ago
- A differentiable finite element analysis solver for structural optimization based on JAX☆42Dec 22, 2025Updated 7 months ago
- Differentiable Finite Element Method with JAX☆733Updated this week
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆70Updated this week
- ☆36Jul 19, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- dolfinx_materials is a Python add-on package to the dolfinx interface to the FEniCSx project. It enables the user to define complex mater…☆34Apr 12, 2026Updated 3 months ago
- Lego-like building blocks for Finite Element Analysis☆62Updated this week
- Compute gradients on mesh and unstructured data objects.☆14Jan 30, 2021Updated 5 years ago
- ☆16Aug 3, 2021Updated 5 years ago
- A GPU-accelerated and differentiable library for connectivity modelling at scale.☆14Jun 4, 2026Updated last month
- Efficient GPU-computing simulation for differentiable crystal plasticity finite element method☆84Jun 5, 2026Updated last month
- Convert jax functions to sympy for symbolic analysis. This is useful for sparsity detection.☆21Jul 15, 2026Updated 2 weeks ago
- torch sparse linear algebra library☆54Jul 10, 2026Updated 3 weeks ago
- micmacsfenics: a FEniCs-based implementation of two-level finite element simulations (FE2) using computational homogenization.☆27Feb 20, 2026Updated 5 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for 'DiffuMeta: Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers'☆34Apr 23, 2026Updated 3 months ago
- An adaptive/incremental kNN and Range Search query implementation in Julia☆11May 6, 2023Updated 3 years ago
- Automated material constitutive modeling in JAX☆44Jul 23, 2026Updated last week
- Efficient Differentiable n-d PDE Solvers in JAX.☆220Jun 1, 2026Updated 2 months ago
- ☆13Jul 20, 2026Updated 2 weeks ago
- Matrix-free linear algebra in JAX.☆178Jul 1, 2026Updated last month
- A C++ Finite Element Analysis software based on the Jem-Jive library☆16Dec 10, 2025Updated 7 months ago
- Differentiable interface to FEniCS for JAX☆60May 30, 2021Updated 5 years ago
- ☆24Jun 9, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- JAX reimplementation and bindings for the NVIDIA cuDecomp library☆57Jun 18, 2026Updated last month
- A fast, differentiable, JIT-free, debugging-friendly finite element library for PyTorch.☆213Jul 22, 2026Updated last week
- Solve sparse linear systems in JAX using the KLU algorithm☆47Apr 15, 2026Updated 3 months ago
- A Riks arclength solver implemented in FEniCS☆19Jan 8, 2026Updated 6 months ago
- ☆18Mar 28, 2024Updated 2 years ago
- Coordinates in JAX☆36Updated this week
- Learning to optimize (L2O) package that provides basic functionalities to help fit proxy models for optimization.☆16Apr 1, 2025Updated last year