DavidRuhe / clifford-group-equivariant-neural-networksLinks
Code used by the "Clifford Group Equivariant Neural Networks" paper.
☆90Updated last year
Alternatives and similar repositories for clifford-group-equivariant-neural-networks
Users that are interested in clifford-group-equivariant-neural-networks are comparing it to the libraries listed below
Sorting:
- ☆219Updated 11 months ago
- Tools for building equivariant polynomials on reductive Lie groups.☆36Updated 2 years ago
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆88Updated last year
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆110Updated 3 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆32Updated 2 years ago
- jax library for E3 Equivariant Neural Networks☆223Updated 5 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆110Updated 9 months ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆52Updated 8 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆54Updated 10 months ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆19Updated last year
- E(3) Steerable Graph Neural Network☆126Updated 2 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆139Updated 4 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆40Updated 11 months ago
- ☆53Updated 3 years ago
- ☆34Updated 3 years ago
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆68Updated last year
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆32Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- A Lorentz-Equivariant Transformer for All of the LHC☆29Updated 7 months ago
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆65Updated 9 months ago
- A library for programmatically generating equivariant layers through constraint solving☆280Updated 2 years ago
- Steerable E(3) GNN in jax☆24Updated 2 years ago
- PySCF on IPU☆44Updated last year
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆25Updated 2 months ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated last year
- ☆60Updated 3 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 4 years ago
- Higher order equivariant graph neural networks for 3D point clouds☆46Updated 2 years ago
- Boltzmann Generators and Normalizing Flows in PyTorch☆187Updated 2 years ago