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

• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆82Updated 11 months ago
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆183Updated 2 months ago
• maxxxzdn / clifford-group-equivariant-cnns
  Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"
  ☆47Updated 8 months ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆204Updated 3 months ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆117Updated 2 years ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆131Updated 3 years ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆32Updated 2 months ago
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆17Updated 3 months ago
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆30Updated last year
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆30Updated last year
• vgsatorras / en_flows
  ☆60Updated 3 years ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆49Updated last month
• google-research / e3x
  E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
  ☆103Updated 3 weeks ago
• lsj2408 / Gaunt-Tensor-Product
  [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…
  ☆59Updated 6 months ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆44Updated 3 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆223Updated last year
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆60Updated 11 months ago
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆30Updated 10 months ago
• noegroup / bgflow
  Boltzmann Generators and Normalizing Flows in PyTorch
  ☆162Updated last year
• NSAPH-Projects / topological-equivariant-networks
  Code for paper E(n)-Equivariant Topological Neural Networks
  ☆34Updated 5 months ago
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆36Updated last year
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆21Updated 2 years ago
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated 5 months ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated last year
• graphcore-research / pyscf-ipu
  PySCF on IPU
  ☆42Updated last year
• LarsHoldijk / SOCTransitionPaths
  ☆28Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆57Updated last year
• mdsunivie / deeperwin
  DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…
  ☆54Updated 2 weeks ago
• vict0rsch / faenet
  ☆34Updated 2 months ago