DiffEqML / kairosLinks
Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
☆25Updated 2 years ago
Alternatives and similar repositories for kairos
Users that are interested in kairos are comparing it to the libraries listed below
Sorting:
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆24Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆50Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆65Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆24Updated this week
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆26Updated 2 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated last year
- ☆33Updated 2 years ago
- Multiwavelets-based operator model☆61Updated 3 years ago
- ☆13Updated last year
- ☆33Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆55Updated 11 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆14Updated 10 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 11 months ago
- Learning Dynamical Systems that Generalize Across Environments☆20Updated 3 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆14Updated 9 months ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆18Updated last year
- ICON for in-context operator learning☆53Updated 3 months ago
- ☆21Updated last year
- Solving Inverse Physics Problems with Score Matching☆25Updated last year
- ☆50Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆44Updated last year
- Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.☆77Updated last month
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- ☆35Updated last year
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆49Updated 11 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year