weichiyao / ScalarEMLPLinks
Config files for my GitHub profile.
☆24Updated 7 months ago
Alternatives and similar repositories for ScalarEMLP
Users that are interested in ScalarEMLP are comparing it to the libraries listed below
Sorting:
- Equivariant Mesh Attention Networks☆20Updated 3 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Path integral based convolution and pooling☆30Updated 2 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆40Updated 2 years ago
- ☆17Updated 3 years ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆18Updated 9 months ago
- Code for Graph Normalizing Flows.☆63Updated 6 years ago
- Running PDEs on graph☆29Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆59Updated last year
- E(3) Steerable Graph Neural Network☆123Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 3 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆40Updated 2 years ago
- Score-based generative models for compact manifolds☆116Updated last year
- ☆20Updated 9 months ago
- ☆44Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆54Updated 2 years ago
- ☆62Updated 2 years ago
- A collection of graph neural networks implementations in JAX☆35Updated last year
- LieTransformer: Equivariant Self-Attention for Lie Groups☆74Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆51Updated 3 years ago
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆38Updated 3 years ago
- ☆59Updated 3 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆85Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆27Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Experiments for Neural Flows paper☆99Updated 3 years ago