Alternatives and similar repositories for jax-geometric

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

• gerkone / segnn-jax
  Steerable E(3) GNN in jax
  ☆24Updated last year
• gerkone / egnn-jax
  E(n) Equivariant GNN in jax
  ☆13Updated last year
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆36Updated 5 months ago
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆35Updated 2 years ago
• ChemAI-Lab / ofdft_nflows
  Nomalizing flows for orbita-free DFT
  ☆10Updated 10 months ago
• google-deepmind / flows_for_atomic_solids
  ☆52Updated 2 years ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated 5 months ago
• noegroup / rigid-flows
  ☆11Updated last year
• mariogeiger / allegro-jax
  ☆22Updated 2 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…
  ☆58Updated 3 months ago
• fabiannagel / schnax
  An implementation of SchNet in JAX and JAX-MD.
  ☆17Updated 3 years ago
• google-research / e3x
  E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
  ☆109Updated 3 months ago
• LarsHoldijk / SOCTransitionPaths
  ☆31Updated 2 years ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆50Updated 4 months ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• sail-sg / jax_xc
  Exchange correlation functionals translated from libxc to jax
  ☆45Updated 4 months ago
• prescient-design / e3tools
  Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0
  ☆15Updated last week
• 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
• tummfm / relative-entropy
  Deep Coarse-grained Potentials via Relative Entropy Minimization
  ☆15Updated 2 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆14Updated 4 years ago
• atomicarchitects / symphony
  [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation
  ☆23Updated 5 months ago
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆40Updated 3 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 2 years ago
• bytedance / netobs
  Calculate observables from neural network-based VMC (NN-VMC).
  ☆15Updated 3 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆58Updated last year
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆27Updated 3 months ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆212Updated 6 months ago