pnkraemer / million-dimension-prob-ode-solver-experimentsLinks
☆10Updated 3 years ago
Alternatives and similar repositories for million-dimension-prob-ode-solver-experiments
Users that are interested in million-dimension-prob-ode-solver-experiments are comparing it to the libraries listed below
Sorting:
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 10 months ago
- Matrix-free linear algebra in JAX.☆126Updated last month
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆45Updated 8 months ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 5 months ago
- Functional models and algorithms for sparse signal processing☆90Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆49Updated 3 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆97Updated last year
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆10Updated last year
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated this week
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- TorchFSM: Fourier Spectral Method with PyTorch☆45Updated this week
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Code for Lie Symmetries SSL paper☆23Updated last year
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated 11 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 4 months ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆42Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 11 months ago
- GPU/TPU accelerated nonlinear least-squares curve fitting using JAX☆57Updated 2 years ago
- Website for the book "The Elements of Differentiable Programming".☆13Updated 2 weeks ago
- Solving Inverse Physics Problems with Score Matching☆28Updated last year
- Stencil computations in JAX☆71Updated last year
- ☆21Updated 8 months ago