ucl-bug / jaxdfLinks
A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
☆130Updated 11 months ago
Alternatives and similar repositories for jaxdf
Users that are interested in jaxdf are comparing it to the libraries listed below
Sorting:
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆101Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Stencil computations in JAX☆71Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated 10 months ago
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆49Updated 2 months ago
- Matrix-free linear algebra in JAX.☆140Updated 3 weeks ago
- Multiple dispatch over abstract array types in JAX.☆129Updated 3 weeks ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆100Updated this week
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 6 months ago
- Mathematical operations for JAX pytrees☆200Updated 9 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated last week
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 4 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆64Updated last week
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆73Updated 4 months ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 8 months ago
- Interpolation and function approximation with JAX☆215Updated this week
- A dead simple Python package for creating custom JAX pytree objects☆64Updated 10 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆52Updated last week
- JAX Arrays for human consumption☆106Updated 2 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆56Updated last month
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 7 months ago
- Neural Emulator Architectures in JAX.☆18Updated 10 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆117Updated 4 months ago
- A small library of paramaterizations and parameter constraints for PyTrees.☆40Updated 4 months ago
- Orthogonal polynomials with JAX☆26Updated last week
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆60Updated 2 years ago
- Automatic Functional Differentiation in JAX☆77Updated 5 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆207Updated last month
- Exponential families for JAX☆73Updated this week