RehMoritz / vmc_pde
Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.01927).
☆9Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for vmc_pde
- Differentiable interface to FEniCS for JAX☆50Updated 3 years ago
- Orthogonal polynomials with JAX☆10Updated 3 weeks ago
- Stiff Neural Ordinary Differential Equations☆30Updated last year
- Two Dimensional Fokker-Planck Solver using Matlab☆17Updated 5 years ago
- Reverse-mode AD of dominant sparse eigensolver using Pytorch.☆38Updated 4 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 2 weeks ago
- Differentiable interface to Firedrake for JAX☆14Updated 3 years ago
- ☆31Updated 4 years ago
- WuLiXueBao magazine article - automatic differentiation.☆15Updated 2 years ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆47Updated 9 months ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- H2 Matrix Package☆24Updated last year
- Code to estimate Renormalized Mutual Information in simple settings☆12Updated 3 years ago
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆27Updated last month
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 5 months ago
- Compressible Euler equations solved with finite volume implemented in JAX, plugged into an optimization loop☆17Updated 5 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆90Updated last year
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated 11 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated last year
- ☆16Updated 2 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆24Updated 5 months ago
- ☆23Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆63Updated 10 months ago
- Simulation of the Potts model for a university course in Monte Carlo simulations☆10Updated 4 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker fo…☆66Updated last year
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆55Updated 2 weeks ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆22Updated last year