dimitra-maoutsa / DeterministicParticleFlowControlLinks
Repository for Deterministic Particle Flow Control framework
☆10Updated 2 years ago
Alternatives and similar repositories for DeterministicParticleFlowControl
Users that are interested in DeterministicParticleFlowControl are comparing it to the libraries listed below
Sorting:
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years 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
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- A generic interface for linear algebra backends☆73Updated 5 months ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 years ago
- Matrix-free linear algebra in JAX.☆138Updated last week
- Differentiable interface to FEniCS for JAX☆57Updated 4 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆130Updated 11 months ago
- ☆29Updated 2 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 4 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆99Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆50Updated 4 months ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated last month
- ☆21Updated 4 years ago
- ☆11Updated 4 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆16Updated 8 months ago
- ☆73Updated 4 years ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- ☆10Updated 3 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago