ejnnr / steerable_pdosLinks
Fork of the E2CNN library that adds support for equivariant partial differential operators
☆17Updated 3 years ago
Alternatives and similar repositories for steerable_pdos
Users that are interested in steerable_pdos are comparing it to the libraries listed below
Sorting:
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆30Updated 10 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- ☆62Updated 2 years ago
- ☆38Updated 2 years ago
- LieTransformer: Equivariant Self-Attention for Lie Groups☆72Updated 11 months ago
- ☆17Updated 3 years ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆28Updated 4 months ago
- Library for normalizing flows and neural flows.☆24Updated 3 years ago
- Group Equivariant Linear Maps☆11Updated 4 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Implementation of Action Matching for the Schrödinger equation☆24Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆15Updated 10 months ago
- ☆270Updated 2 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆45Updated 2 weeks ago
- ☆17Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- Reference implementation for "Group Equivariant Subsampling"☆16Updated 3 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆30Updated 2 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆83Updated last year
- Stochastic Normalizing Flows☆78Updated 3 years ago
- ☆22Updated 5 years ago
- ☆17Updated 2 years ago