maxxxzdn / jax-geometric

Related projects: ⓘ

• smsharma / eqnn-jax
  Annotated implementations of equivariant graph neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆17Updated 3 months ago
• gerkone / segnn-jax
  Steerable E(3) GNN in jax
  ☆22Updated 11 months ago
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆26Updated last year
• noegroup / rigid-flows
  ☆10Updated 9 months ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆22Updated 5 months ago
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆26Updated last year
• google-research / e3x
  E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
  ☆78Updated 2 weeks ago
• risi-kondor / GElib
  C++/CUDA library for SO(3) equivariant operations
  ☆19Updated last week
• fabiannagel / schnax
  An implementation of SchNet in JAX and JAX-MD.
  ☆16Updated 2 years ago
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆33Updated last year
• mariogeiger / allegro-jax
  ☆17Updated 5 months ago
• mariogeiger / nequip-jax
  ☆17Updated 10 months ago
• google-deepmind / flows_for_atomic_solids
  ☆48Updated last year
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆27Updated 2 months ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆34Updated 2 years ago
• fujiisoup / py3nj
  Wigner's 3J, 6J, 9J symbols for python
  ☆18Updated 2 months ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆23Updated last year
• florpi / summer_school_generative
  ☆13Updated last year
• graphcore-research / pyscf-ipu
  PySCF on IPU
  ☆41Updated 6 months ago
• nickjbrowning / cuda_mace
  CUDA implementations of MACE models
  ☆10Updated 2 months ago
• LarsHoldijk / SOCTransitionPaths
  ☆27Updated 2 years ago
• teddykoker / e3nn.c
  Pure C implementation of e3nn
  ☆15Updated last month
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆12Updated 3 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆18Updated 4 years ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆68Updated 3 months ago
• ACEsuit / mace-jax
  Equivariant machine learning interatomic potentials in JAX.
  ☆59Updated 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…
  ☆27Updated 3 months ago
• noegroup / bgmol
  Molecular mechanics systems and simulation data
  ☆15Updated 3 months ago
• dlwh / jax_sourceror
  Turn jitted jax functions back into python source code
  ☆20Updated 2 months ago
• ASK-Berkeley / StABlE-Training
  A repo to finetune NNIPs by training on observables
  ☆12Updated 5 months ago