Alternatives and similar repositories for MFA

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

• vict0rsch / faenet
  ☆34Updated 5 months ago
• vgsatorras / en_flows
  ☆60Updated 3 years ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆49Updated 3 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆131Updated 3 years ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆119Updated 2 years ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆58Updated last year
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆80Updated 3 weeks ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆83Updated last year
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• 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…
  ☆62Updated last year
• lsj2408 / Gaunt-Tensor-Product
  [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…
  ☆63Updated 8 months ago
• atomicarchitects / PriceofFreedom
  [ICML'25] The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products
  ☆12Updated last month
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆36Updated 4 months ago
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆25Updated 8 months ago
• omri1348 / Frame-Averaging
  ☆34Updated 3 years ago
• atomicarchitects / symphony
  [ICLR'24] Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation
  ☆23Updated 4 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆58Updated 3 months ago
• yuanqing-wang / rum
  Random walk unit with memory
  ☆21Updated 9 months ago
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆34Updated 2 years ago
• take-koshizuka / NLSB
  ☆20Updated 5 months ago
• nataliemaus / lolbo
  ☆29Updated 2 years ago
• sibasmarak / SymmCD
  ☆16Updated last month
• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆103Updated 9 months ago
• kyonofx / mlcgmd
  [TMLR 2023] Simulate time-integrated coarse-grained MD with multi-scale graph neural networks
  ☆71Updated last year
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆81Updated last year
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆71Updated last year
• gmh14 / data_efficient_grammar
  [ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
  ☆96Updated last year
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆61Updated last year
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆147Updated 8 months ago