Alternatives and similar repositories for e3nn-jax:

Users that are interested in e3nn-jax are comparing it to the libraries listed below

• NVIDIA / cuEquivariance
  cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffD…
  ☆204Updated this week
• google-research / e3x
  E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
  ☆103Updated 4 months ago
• noegroup / bgflow
  Boltzmann Generators and Normalizing Flows in PyTorch
  ☆160Updated last year
• thorben-frank / mlff
  Build neural networks for machine learning force fields with JAX
  ☆111Updated last month
• torchmd / mdgrad
  Pytorch differentiable molecular dynamics
  ☆175Updated 2 years ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆31Updated last month
• sail-sg / jax_xc
  Exchange correlation functionals translated from libxc to jax
  ☆45Updated last week
• ACEsuit / mace-jax
  Equivariant machine learning interatomic potentials in JAX.
  ☆72Updated 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 3 months ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆115Updated 2 years ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆130Updated 3 years ago
• lsj2408 / Gaunt-Tensor-Product
  [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…
  ☆58Updated 5 months ago
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆30Updated last year
• valence-labs / mess
  MESS: Modern Electronic Structure Simulations
  ☆27Updated this week
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆36Updated last year
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆80Updated 10 months ago
• blondegeek / e3nn_tutorial
  repository and website for tutorials on 3d Euclidean equivariant neural networks
  ☆71Updated 4 years ago
• openmm / spice-dataset
  A collection of QM data for training potential functions
  ☆166Updated last month
• vgsatorras / en_flows
  ☆60Updated 2 years ago
• kyonofx / MDsim
  [TMLR 2023] Training and simulating MD with ML force fields
  ☆112Updated 5 months ago
• LarsHoldijk / SOCTransitionPaths
  ☆28Updated 2 years ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆49Updated last week
• torchmd / torchmd-net
  Training neural network potentials
  ☆390Updated this week
• graphcore-research / pyscf-ipu
  PySCF on IPU
  ☆42Updated last year
• facebookresearch / all-atom-diffusion-transformer
  Official implementation of All Atom Diffusion Transformers
  ☆164Updated this week
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆81Updated 10 months ago
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆120Updated 5 months ago
• proteneer / timemachine
  Differentiate all the things!
  ☆146Updated this week
• learningmatter-mit / NeuralForceField
  Neural Network Force Field based on PyTorch
  ☆267Updated last month
• fishjojo / pyscfad
  PySCF with auto-differentiation
  ☆77Updated 2 weeks ago