Alternatives and similar repositories for Gaunt-Tensor-Product:

Users that are interested in Gaunt-Tensor-Product are comparing it to the libraries listed below

• vict0rsch / faenet
  ☆33Updated last week
• facebookresearch / JMP
  Code for “From Molecules to Materials Pre-training Large Generalizable Models for Atomic Property Prediction”.
  ☆46Updated 3 months ago
• yuanqidu / LeftNet
  ☆55Updated 2 months ago
• arthurkosmala / EwaldMP
  Reference implementation of "Ewald-based Long-Range Message Passing for Molecular Graphs" (ICML 2023)
  ☆45Updated last year
• atomicarchitects / DeNS
  [TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
  ☆31Updated last week
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆108Updated 3 months ago
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆35Updated last year
• kyonofx / MDsim
  [TMLR 2023] Training and simulating MD with ML force fields
  ☆108Updated 3 months ago
• ACEsuit / mace-jax
  Equivariant machine learning interatomic potentials in JAX.
  ☆69Updated last year
• Dunni3 / FlowMol
  Mixed continous/categorical flow-matching model for de novo molecule generation.
  ☆95Updated last week
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆56Updated 8 months ago
• Shen-Lab / LDM-3DG
  [ICLR 2024] "Latent 3D Graph Diffusion" by Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen
  ☆42Updated 8 months ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆199Updated 3 weeks ago
• mouthful / ClofNet
  ☆21Updated last year
• thorben-frank / euclidean_fast_attention
  Implementation of the Euclidean fast attention (EFA) algorithm
  ☆44Updated 3 weeks ago
• AIforGreatGood / charge3net
  Higher-order equivariant neural networks for charge density prediction in materials
  ☆46Updated 3 months ago
• thorben-frank / mlff
  Build neural networks for machine learning force fields with JAX
  ☆109Updated last week
• atomicarchitects / equiformer
  [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
  ☆227Updated last week
• ASK-Berkeley / EScAIP
  [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
  ☆32Updated 2 weeks ago
• 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…
  ☆185Updated this week
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆29Updated last year
• YKQ98 / Matformer
  Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)
  ☆85Updated last year
• ccr-cheng / InfGCN-pytorch
  Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.
  ☆13Updated last year
• peterbjorgensen / DeepDFT
  Official implementation of DeepDFT model
  ☆70Updated last year
• LarsHoldijk / SOCTransitionPaths
  ☆27Updated 2 years ago
• microsoft / MOFDiff
  Coarse-grained Diffusion for Metal-Organic Framework Design
  ☆39Updated 8 months ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆113Updated 2 years ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆52Updated 10 months ago
• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆97Updated 5 months ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆45Updated last week