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☆131Updated last year
- Matrix-free linear algebra in JAX.☆152Updated last week
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Updated 3 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 3 weeks ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆44Updated 2 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated last week
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆55Updated 2 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆52Updated last month
- Functional models and algorithms for sparse signal processing☆96Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 4 months ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 10 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆105Updated 2 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆93Updated last month
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 4 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Stencil computations in JAX☆71Updated 3 weeks ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- The ✨Magical✨ JAX ML Library.☆18Updated 10 months ago
- Einstein Fields official implementation in JAX.☆65Updated 3 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago
- ☆167Updated last year
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 11 months ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Updated last year
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆47Updated last year