DavidRuhe / clifford-group-equivariant-neural-networksLinks
Code used by the "Clifford Group Equivariant Neural Networks" paper.
☆84Updated 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:
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- ☆207Updated 8 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Updated last year
- jax library for E3 Equivariant Neural Networks☆216Updated last month
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆108Updated 6 months ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆52Updated 6 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆39Updated 7 months ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆31Updated 2 years ago
- Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.☆86Updated last year
- E(3) Steerable Graph Neural Network☆122Updated 2 years ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆101Updated 3 months ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆138Updated 3 years ago
- ☆32Updated 3 years ago
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆18Updated 8 months ago
- ☆59Updated 3 years ago
- ☆53Updated 2 years ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆49Updated 5 months ago
- Boltzmann Generators and Normalizing Flows in PyTorch☆175Updated last year
- This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…☆66Updated last year
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆66Updated 11 months ago
- Steerable E(3) GNN in jax☆24Updated 2 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆30Updated last year
- A library for programmatically generating equivariant layers through constraint solving☆275Updated 2 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆65Updated last year
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆59Updated 5 months ago
- PySCF on IPU☆44Updated last year
- Higher order equivariant graph neural networks for 3D point clouds☆44Updated 2 years ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆133Updated last year
- Code for paper E(n)-Equivariant Topological Neural Networks☆36Updated 10 months ago