Alternatives and similar repositories for flows_for_atomic_solids:

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

• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆32Updated 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 2 weeks ago
• gerkone / segnn-jax
  Steerable E(3) GNN in jax
  ☆24Updated last year
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated 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 this week
• deepchem / jaxchem
  JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
  ☆79Updated 4 years 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
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆14Updated 4 years ago
• noegroup / rigid-flows
  ☆11Updated last year
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆36Updated last year
• microsoft / folx
  Implementation of Forward Laplacian algorithm in JAX
  ☆63Updated last month
• graphcore-research / pyscf-ipu
  PySCF on IPU
  ☆42Updated last year
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆30Updated last year
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆80Updated 10 months ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆204Updated 3 months ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• nickjbrowning / cuda_mace
  CUDA implementations of MACE models
  ☆14Updated 3 months ago
• ACEsuit / mace-jax
  Equivariant machine learning interatomic potentials in JAX.
  ☆72Updated last week
• CCQC / Quax
  Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.
  ☆65Updated 8 months ago
• sail-sg / jax_xc
  Exchange correlation functionals translated from libxc to jax
  ☆45Updated last month
• teddykoker / e3nn.c
  Pure C implementation of e3nn
  ☆18Updated last month
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated last year
• CompPhysVienna / MLSummerSchoolVienna2022
  ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
  ☆36Updated 2 years ago
• proteneer / timemachine
  Differentiate all the things!
  ☆149Updated last week
• fabiannagel / schnax
  An implementation of SchNet in JAX and JAX-MD.
  ☆17Updated 3 years ago
• XanaduAI / GradDFT
  GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…
  ☆97Updated last year
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated last month
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆49Updated 3 weeks ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆32Updated 4 years ago
• atomicarchitects / symphony
  [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation
  ☆21Updated 2 months ago