amazon-science / boonLinks
Datasets and code for results presented in the BOON paper
☆45Updated 2 years ago
Alternatives and similar repositories for boon
Users that are interested in boon are comparing it to the libraries listed below
Sorting:
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years ago
- Applications of PINOs☆141Updated 3 years ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- ☆116Updated 6 years ago
- ☆54Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated last week
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆93Updated 2 weeks ago
- Bootcamp notebooks☆61Updated 3 months ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆105Updated last year
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆178Updated 11 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆159Updated 7 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆18Updated last year
- Spectral Neural Operator☆78Updated last year
- ☆28Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆99Updated 11 months ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆158Updated 10 months ago
- Solving Inverse Physics Problems with Score Matching☆31Updated last year
- ☆35Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆49Updated 2 years ago
- ☆38Updated 4 years ago
- ☆39Updated 2 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 3 weeks ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆69Updated 5 months ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated this week
- ☆37Updated 2 years ago