Axect / Neural_HamiltonLinks
Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"
☆12Updated this week
Alternatives and similar repositories for Neural_Hamilton
Users that are interested in Neural_Hamilton are comparing it to the libraries listed below
Sorting:
- ☆10Updated 2 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆45Updated 8 months ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 3 months ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 3 years ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year
- Compressible Euler equations solved with finite volume implemented in JAX, plugged into an optimization loop☆20Updated 2 months ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆44Updated 10 months ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated 2 years ago
- Some initial code for simple QRC examples on discrete states☆26Updated last month
- TorchFSM: Fourier Spectral Method with PyTorch☆45Updated this week
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆29Updated 9 months ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆58Updated 2 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat …☆14Updated 3 years ago
- Generalized sparse regression for continuous and discrete data☆11Updated last month
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- Python Algorithms for Randomized Linear Algebra☆54Updated 2 years ago
- ARTEMIS (Adaptive mesh Refinement Time-domain ElectrodynaMIcs Solver) couples the Maxwell's equations implementation in WarpX with classi…☆20Updated last week
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- A software package for Quantum Lattice Boltzmann Methods☆18Updated last week
- ☆32Updated last year
- ☆17Updated 6 months ago
- H2 Matrix Package☆30Updated 2 years ago
- Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.☆26Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- ☆16Updated 11 months ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated 11 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆45Updated last year
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago