NickHunt-Smith / MCMC-diffusion
A Metropolis-Hastings MCMC sampler accelerated via diffusion models
☆10Updated last month
Related projects: ⓘ
- ☆11Updated 3 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆16Updated 3 months ago
- ☆13Updated last month
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆43Updated last month
- Practicum on Supervised Learning in Function Spaces☆31Updated 2 years ago
- ☆11Updated 2 years ago
- Code of ICML paper arxiv.org/abs/2302.08105☆12Updated last year
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆27Updated 3 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆21Updated last month
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆46Updated last year
- ☆12Updated 9 months ago
- Spectral Neural Operator☆67Updated 9 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆29Updated 2 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆21Updated 4 months ago
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆16Updated 11 months ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆35Updated 2 years ago
- Neural Galerkin☆14Updated 10 months ago
- ☆23Updated 3 years ago
- A JAX-based implementation of Kolmogorov-Arnold Networks☆39Updated last month
- ☆35Updated last year
- Code for the paper "Rational neural networks", NeurIPS 2020☆23Updated 3 years ago
- Python Library for Generalized Gaussian Process Modeling☆17Updated 2 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆44Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆20Updated last year
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆19Updated last month
- Differentiable interface to FEniCS for JAX☆49Updated 3 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆33Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆12Updated 3 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆17Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆23Updated 3 months ago