Alternatives and similar repositories for symphony

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

• thorben-frank / euclidean_fast_attention
  Implementation of the Euclidean fast attention (EFA) algorithm
  ☆58Updated 2 weeks ago
• 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 last week
• ACEsuit / mace-jax
  Equivariant machine learning interatomic potentials in JAX.
  ☆83Updated this week
• arthurkosmala / EwaldMP
  Reference implementation of "Ewald-based Long-Range Message Passing for Molecular Graphs" (ICML 2023)
  ☆51Updated 2 years ago
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆46Updated 2 years ago
• atomicarchitects / DeNS
  [TMLR 2024 J2C Certification] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
  ☆39Updated 11 months ago
• 20171130 / Equivariant-NN-Zoo
  A library for building equivariant neural networks and a zoo of implementations & examples.
  ☆31Updated 3 years ago
• kyonofx / scdp
  [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"
  ☆39Updated last year
• majhas / self-refining-dft
  ☆25Updated 5 months ago
• microsoft / timewarp
  Timewarp is a research project using deep learning to accelerate molecular dynamics simulation.
  ☆58Updated last year
• mariogeiger / allegro-jax
  ☆22Updated 8 months ago
• THGLab / NewtonNet
  A Newtonian message passing network for deep learning of interatomic potentials and forces
  ☆45Updated 7 months ago
• FeNNol-tools / FeNNol
  Force-field-enhanced Neural Networks optimized library
  ☆79Updated last month
• torchmd / torchmd-cg
  Example to fit parameters and run CG simulations using TorchMD and Schnet
  ☆47Updated 3 years ago
• bytedance / OpenMM-Python-Force
  Run OpenMM with forces provided by any Python program
  ☆37Updated last year
• wwang2 / CoarseGrainingVAE
  Geometric super-resolution for molecular geometries
  ☆42Updated 3 years ago
• kyonofx / MDsim
  [TMLR 2023] Training and simulating MD with ML force fields
  ☆115Updated last year
• prescient-design / e3tools
  Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0
  ☆17Updated 2 months ago
• learningmatter-mit / Atomistic-Adversarial-Attacks
  Code for performing adversarial attacks on atomistic systems using NN potentials
  ☆40Updated 3 years ago
• atomicarchitects / nequix
  [NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget and [arXiv'26] Phonon fine-tuning (PFT)
  ☆60Updated last week
• RokasEl / simgen
  Zero Shot Molecular Generation via Similarity Kernels
  ☆28Updated 4 months ago
• valence-labs / OpenQDC
  Repository of Quantum Datasets Publicly Available
  ☆54Updated 7 months ago
• ASK-Berkeley / EScAIP
  [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
  ☆57Updated 3 months 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
• choderalab / modelforge
  Infrastructure to implement and train NNPs
  ☆21Updated this week
• tummfm / difftre
  Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
  ☆36Updated last year
• ibayashi-hikaru / allegro-legato
  Robust NN MD simulator
  ☆21Updated 2 years ago
• zrqiao / torch-gauge
  A light-weight PyTorch extension for equivariant deep learning
  ☆18Updated 11 months ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆40Updated 10 months ago
• facebookresearch / JMP
  Code for “From Molecules to Materials Pre-training Large Generalizable Models for Atomic Property Prediction”.
  ☆61Updated last year