Alternatives and similar repositories for symphony

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

• ASK-Berkeley / OM-TPS
  [ICML 2025] Repurposing pre-trained score-based generative models for transition path sampling by minimizing the Onsager-Machlup (OM) act…
  ☆24Updated 2 weeks ago
• ACEsuit / mace-jax
  Equivariant machine learning interatomic potentials in JAX.
  ☆80Updated this week
• thorben-frank / euclidean_fast_attention
  Implementation of the Euclidean fast attention (EFA) algorithm
  ☆57Updated 2 months ago
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆45Updated 2 years ago
• 20171130 / Equivariant-NN-Zoo
  A library for building equivariant neural networks and a zoo of implementations & examples.
  ☆32Updated 3 years ago
• atomicarchitects / DeNS
  [TMLR 2024 J2C Certification] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
  ☆39Updated 10 months ago
• arthurkosmala / EwaldMP
  Reference implementation of "Ewald-based Long-Range Message Passing for Molecular Graphs" (ICML 2023)
  ☆51Updated 2 years ago
• kyonofx / scdp
  [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"
  ☆38Updated 11 months ago
• microsoft / timewarp
  Timewarp is a research project using deep learning to accelerate molecular dynamics simulation.
  ☆56Updated last year
• FeNNol-tools / FeNNol
  Force-field-enhanced Neural Networks optimized library
  ☆64Updated last week
• atomicarchitects / nequix
  [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget.
  ☆52Updated 3 weeks ago
• THGLab / NewtonNet
  A Newtonian message passing network for deep learning of interatomic potentials and forces
  ☆45Updated 5 months ago
• kyonofx / MDsim
  [TMLR 2023] Training and simulating MD with ML force fields
  ☆115Updated last year
• mariogeiger / allegro-jax
  ☆22Updated 7 months ago
• majhas / self-refining-dft
  ☆25Updated 4 months ago
• torchmd / torchmd-cg
  Example to fit parameters and run CG simulations using TorchMD and Schnet
  ☆48Updated 3 years ago
• wwang2 / CoarseGrainingVAE
  Geometric super-resolution for molecular geometries
  ☆42Updated 3 years ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆40Updated 9 months ago
• zrqiao / torch-gauge
  A light-weight PyTorch extension for equivariant deep learning
  ☆17Updated 9 months ago
• prescient-design / e3tools
  Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0
  ☆17Updated 3 weeks ago
• ASK-Berkeley / EScAIP
  [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
  ☆57Updated 2 months ago
• learningmatter-mit / Atomistic-Adversarial-Attacks
  Code for performing adversarial attacks on atomistic systems using NN potentials
  ☆40Updated 3 years ago
• bytedance / OpenMM-Python-Force
  Run OpenMM with forces provided by any Python program
  ☆37Updated 11 months ago
• mariogeiger / nequip-jax
  ☆23Updated 2 years ago
• vict0rsch / faenet
  ☆34Updated 9 months ago
• deepprinciple / react-ot
  React-OT is a generative transition state search model developed by DeepPrinciple, which uses Optimal Transport (OT) methods to generate …
  ☆33Updated 3 months ago
• chemle / emle-engine
  An engine for electrostatic ML embedding for multiscale modelling.
  ☆25Updated last week
• compsciencelab / torchmd-exp
  Implementation of Differentiable Molecular Simulations with torchMD.
  ☆15Updated 2 years ago
• lsj2408 / Gaunt-Tensor-Product
  [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…
  ☆68Updated last year
• valence-labs / OpenQDC
  Repository of Quantum Datasets Publicly Available
  ☆54Updated 5 months ago