[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] MonoForce: Learnable Image-conditioned Physics Engine
Incompressible Navier-Stokes solver
[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)
[NeurIPS 2024] NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
This repo contains the differentiable physics simulation module in "PPR: Physically Plausible Reconstruction from Monocular Videos". ICCV 23.
Efficient Differentiable n-d PDE solvers in JAX.
Universal Partial Differential Equations Simulator
Differentiable Flexible Mechanical Metamaterials
Simple differentiable approximate ocean models built with JAX.
Training methodologies for autoregressive neural operators/emulators in JAX.
Controlling fluids in a reduced-dimensional simulation.
Official code implementation of the paper on adaptive node position in biological transport networks
A high performance data-driven and differentiable SPH fluid solver
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