pnkraemer / million-dimension-prob-ode-solver-experiments
☆10Updated 2 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
- Efficient Differentiable n-d PDE solvers in JAX.☆28Updated 5 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆125Updated 7 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆93Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated 2 weeks ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 2 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆10Updated 10 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 10 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 8 months ago
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆42Updated last year
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆22Updated last year
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 3 months ago
- A collection of graph neural networks implementations in JAX☆32Updated last year
- Matrix-free linear algebra in JAX.☆116Updated 3 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated 11 months ago
- Stencil computations in JAX☆70Updated last year
- The ✨Magical✨ JAX ML Library.☆17Updated 2 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 10 months ago
- Website for the book "The Elements of Differentiable Programming".☆13Updated 7 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆51Updated last week
- Convolutional Differential Operators for Physics-based Deep Learning Study☆24Updated 8 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 10 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Differentiable and gpu enabled fast wavelet transforms in JAX.☆43Updated 9 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆84Updated last week