Alternatives and similar repositories for e3x

Users that are interested in e3x are comparing it to the libraries listed below

• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆39Updated 7 months ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆216Updated last month
• ACEsuit / mace-jax
  Equivariant machine learning interatomic potentials in JAX.
  ☆75Updated this week
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆44Updated 2 years ago
• mariogeiger / nequip-jax
  ☆23Updated last year
• thorben-frank / mlff
  Build neural networks for machine learning force fields with JAX
  ☆125Updated 4 months ago
• mariogeiger / allegro-jax
  ☆22Updated 5 months ago
• 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…
  ☆59Updated 5 months ago
• hatemhelal / mess
  MESS: Modern Electronic Structure Simulations
  ☆38Updated 2 weeks ago
• thorben-frank / euclidean_fast_attention
  Implementation of the Euclidean fast attention (EFA) algorithm
  ☆55Updated 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…
  ☆66Updated 11 months ago
• teddykoker / e3nn.c
  Pure C implementation of e3nn
  ☆21Updated 6 months ago
• felixmusil / torch_nl
  ☆18Updated 2 years ago
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆35Updated 2 years ago
• PASSIONLab / OpenEquivariance
  OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.
  ☆86Updated last month
• gerkone / segnn-jax
  Steerable E(3) GNN in jax
  ☆24Updated 2 years ago
• fabiannagel / schnax
  An implementation of SchNet in JAX and JAX-MD.
  ☆17Updated 3 years ago
• atomicarchitects / nequix
  [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget.
  ☆44Updated last week
• rubber-duck-debug / cuda-mace
  CUDA implementations of MACE models
  ☆15Updated last month
• metatensor / metatensor
  Self-describing sparse tensor data format for atomistic machine learning and beyond
  ☆87Updated this week
• arthurkosmala / EwaldMP
  Reference implementation of "Ewald-based Long-Range Message Passing for Molecular Graphs" (ICML 2023)
  ☆50Updated 2 years ago
• blondegeek / e3nn_tutorial
  repository and website for tutorials on 3d Euclidean equivariant neural networks
  ☆75Updated 4 years ago
• tummfm / difftre
  Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
  ☆34Updated last year
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆30Updated last year
• AIforGreatGood / charge3net
  Higher-order equivariant neural networks for charge density prediction in materials
  ☆62Updated 7 months ago
• atomicarchitects / DeNS
  [TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
  ☆38Updated 8 months ago
• lab-cosmo / jax-pme
  Particle-mesh based calculations of long-range interactions in JAX
  ☆19Updated last week
• ASK-Berkeley / EScAIP
  [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
  ☆53Updated 2 weeks ago
• spozdn / pet
  Point Edge Transformer
  ☆30Updated last week
• atomicarchitects / symphony
  [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation
  ☆26Updated 7 months ago