adam-coogan / jaxinterp2d
Bilinear interpolation on grids with jax
☆14Updated 2 years ago
Alternatives and similar repositories for jaxinterp2d:
Users that are interested in jaxinterp2d are comparing it to the libraries listed below
- Numerical quadrature with JAX☆58Updated 3 weeks ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆55Updated 5 months ago
- Orthogonal polynomials with JAX☆21Updated 3 weeks ago
- ☆31Updated 4 years ago
- A lightweight, parallel python wrapper for the GSL integration library☆15Updated 4 years ago
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆67Updated last week
- Differentiable modelling on (multi)-GPUs workshop at JuliaCon23☆44Updated 6 months ago
- Simulation-based inference in JAX☆31Updated 3 weeks ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆91Updated this week
- JAX bindings for the NVIDIA cuDecomp library☆35Updated last week
- Dynamic dispatch of a list of command-line tasks, locally or on a cluster. Supports retrying failed tasks, and adding/removing compute re…☆45Updated 3 weeks ago
- N-Point Correlation Functions in Julia☆16Updated 3 years ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆55Updated last month
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated this week
- Compressible Euler equations solved with finite volume implemented in JAX, plugged into an optimization loop☆20Updated this week
- Efficient Differentiable n-d PDE solvers in JAX.☆28Updated 6 months ago
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Fast approximate high-dimensional hierarchical Bayesian inference☆33Updated 9 months ago
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- Numerical derivatives for Python☆44Updated last week
- Julia routines for working with MHD Equilibrium☆12Updated last week
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆26Updated last week
- Automatic-Differentiation-Enabled Plasma Transport in JAX☆28Updated this week
- General Relativistic Orbital Dynamics in Julia☆20Updated 4 months ago
- No need to train, he's a smooth operator☆44Updated 5 months ago
- Special functions in Jax☆13Updated 2 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- ☆36Updated last year
- Compute integrals involving Bessel functions and Hankel transforms☆10Updated 2 years ago
- Interpolation and function approximation with JAX☆176Updated 2 weeks ago