Alternatives and similar repositories for PriceofFreedom

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

• vict0rsch / faenet
  ☆33Updated 8 months ago
• atomicarchitects / DeNS
  [TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
  ☆38Updated 8 months ago
• lsj2408 / Gaunt-Tensor-Product
  [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…
  ☆67Updated 11 months ago
• atomicarchitects / symphony
  [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation
  ☆26Updated 7 months ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆52Updated 6 months ago
• 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…
  ☆66Updated last year
• arthurkosmala / EwaldMP
  Reference implementation of "Ewald-based Long-Range Message Passing for Molecular Graphs" (ICML 2023)
  ☆50Updated 2 years ago
• sibasmarak / SymmCD
  ☆19Updated 4 months ago
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆161Updated 11 months ago
• prescient-design / e3tools
  Building Blocks for Equivariant Neural Networks in e3nn and PyTorch 2.0
  ☆17Updated last week
• kyonofx / MDsim
  [TMLR 2023] Training and simulating MD with ML force fields
  ☆112Updated 11 months ago
• TUM-DAML / synthetic_coordinates
  Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)
  ☆30Updated 2 years ago
• facebookresearch / JMP
  Code for “From Molecules to Materials Pre-training Large Generalizable Models for Atomic Property Prediction”.
  ☆61Updated 11 months ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆122Updated 2 years ago
• ncfrey / litmatter
  Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
  ☆75Updated last year
• Dunni3 / FlowMol
  Mixed continous/categorical flow-matching model for de novo molecule generation.
  ☆165Updated last month
• garywei944 / ChemFlow
  Uncover meaningful structures of latent spaces learned by generative models with flows!
  ☆42Updated last year
• thorben-frank / euclidean_fast_attention
  Implementation of the Euclidean fast attention (EFA) algorithm
  ☆56Updated last month
• yuanqidu / LeftNet
  ☆60Updated 10 months ago
• ACEsuit / mace-layer
  Higher order equivariant graph neural networks for 3D point clouds
  ☆44Updated 2 years ago
• kyonofx / mlcgmd
  [TMLR 2023] Simulate time-integrated coarse-grained MD with multi-scale graph neural networks
  ☆72Updated 2 years ago
• ASK-Berkeley / EScAIP
  [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
  ☆54Updated 3 weeks ago
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆18Updated 9 months ago
• microsoft / MOFDiff
  Coarse-grained Diffusion for Metal-Organic Framework Design
  ☆52Updated last year
• ASK-Berkeley / OM-TPS
  [ICML 2025] Repurposing pre-trained score-based generative models for transition path sampling by minimizing the Onsager-Machlup (OM) act…
  ☆18Updated 3 months ago
• Namkyeong / NoisyNodes_Pytorch
  Pytorch implementation of "Very Deep Graph Neural Networks via Noise Regularisation"
  ☆10Updated 4 years ago
• vgsatorras / en_flows
  ☆59Updated 3 years ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆57Updated last year
• transferable-samplers / transferable-samplers
  A repo for transferable sampling of molecular systems
  ☆27Updated 2 weeks ago
• facebookresearch / all-atom-diffusion-transformer
  Official implementation of All Atom Diffusion Transformers (ICML 2025)
  ☆263Updated last month