Rose-STL-Lab / Approximately-Equivariant-NetsLinks
☆17Updated last year
Alternatives and similar repositories for Approximately-Equivariant-Nets
Users that are interested in Approximately-Equivariant-Nets are comparing it to the libraries listed below
Sorting:
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆90Updated last year
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆51Updated 7 months ago
- Implementation of Action Matching for the Schrödinger equation☆25Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆56Updated 2 years ago
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated last month
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- ☆64Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral☆52Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆41Updated 3 years ago
- A collection of graph neural networks implementations in JAX☆34Updated 2 years ago
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 3 years ago
- Equivariant Mesh Attention Networks☆20Updated 3 years ago
- Tools for building equivariant polynomials on reductive Lie groups.☆36Updated 2 years ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆19Updated 11 months ago
- Lie Algebra Convolutional Network implementation☆43Updated 4 years ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆109Updated 2 months ago
- ☆167Updated last year
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆50Updated 6 months ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Updated 2 years ago
- Implementation of Action Matching☆49Updated 2 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago
- ☆10Updated 3 years ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆30Updated 10 months ago
- Path integral based convolution and pooling☆30Updated 2 years ago
- Stochastic Normalizing Flows☆78Updated 4 years ago
- ☆18Updated 3 years ago
- [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".☆41Updated last year