KeKsBoTer / vape4d
Visualisation for 4D Volumes (Space + Time) written in WebGPU and Rust
☆21Updated this week
Alternatives and similar repositories for vape4d:
Users that are interested in vape4d are comparing it to the libraries listed below
- Neural Emulator Architectures in JAX.☆14Updated 2 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆54Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆56Updated 2 months ago
- Orthogonal polynomials with JAX☆12Updated this week
- Efficient Differentiable n-d PDE solvers in JAX.☆23Updated 2 months ago
- Numerical quadrature with JAX☆50Updated this week
- ☆11Updated 4 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆34Updated 4 months ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆57Updated 2 months ago
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated last year
- Interpolation and function approximation with JAX☆148Updated this week
- ☆56Updated this week
- Differentiable interface to FEniCS for JAX☆52Updated 3 years ago
- ☆10Updated 4 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆36Updated last year
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆84Updated 3 weeks ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆58Updated last week
- Incompressible Navier-Stokes solver☆59Updated last week
- Boundary element methods in Rust☆26Updated this week
- ☆19Updated last year
- Differentiable interface to Firedrake for JAX☆14Updated 3 years ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆41Updated 4 months ago
- Manage a Julia project living within a Python package☆16Updated 10 months ago
- Machine learning from scratch in Julia☆31Updated 2 months ago
- Simulation codes shown at the FortranCon 2021☆22Updated 9 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆38Updated 3 months ago
- No need to train, he's a smooth operator☆43Updated 2 months ago
- High-level model-order reduction to automate the acceleration of large-scale simulations☆38Updated 2 weeks ago
- Hierarchy of parameterized Smoothed Particle Hydrodynamics models trained with mixed mode AD and Sensitivity Analysis (SA)☆12Updated 2 years ago
- A package for multi-dimensional integration using monte carlo methods☆38Updated 11 months ago