yzshi5 / OpFlowLinks
code for "Universal Functional Regression with Neural Operator Flows" TMLR 2024
☆20Updated 6 months ago
Alternatives and similar repositories for OpFlow
Users that are interested in OpFlow are comparing it to the libraries listed below
Sorting:
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated this week
- Learning Neural Differential Algebraic Equations via Operator Splitting☆21Updated 5 months ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 3 years ago
- ☆34Updated last year
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆92Updated last month
- Code for the paper Universal Physics Transformers☆147Updated 6 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 7 months ago
- Swirl-Dynamics is a python repository that provides implementations of models, benchmarks and utilities for dynamical systems.☆76Updated this week
- Patched Attention for Nonlinear Dynamics☆162Updated 2 weeks ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 8 months ago
- Code for Lie Symmetries SSL paper☆24Updated last year
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- ☆129Updated last year
- The ✨Magical✨ JAX ML Library.☆18Updated 11 months ago
- This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH join…☆25Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆35Updated 9 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 2 months ago
- Efficient Differentiable n-d PDE solvers in JAX.☆52Updated 2 months ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 4 years ago
- ☆28Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆56Updated 2 years ago
- ☆12Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated last year
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated this week
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆31Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆71Updated 6 months ago