Alternatives and similar repositories for RGDM

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

• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆25Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 10 months ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆54Updated 10 months ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆45Updated 2 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• vertaix / Vendi-Sampling
  ☆13Updated last year
• mshakerinava / AutoEquiv
  Group Equivariant Linear Maps
  ☆11Updated 4 years ago
• DoronHav / WassersteinFlowMatching
  ☆39Updated 2 weeks ago
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆36Updated 2 years ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆111Updated 3 months ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆70Updated 11 months ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Updated 3 years ago
• saleml / continuous-gfn
  ☆28Updated 2 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆90Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Updated 2 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆30Updated 2 years ago
• tongzhoumu / mean_flow_2d
  A minimal, single-file implementation of the MeanFlow paper on 2D toy examples, with a side-by-side comparison to rectified flow.
  ☆27Updated 7 months ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• balintmate / boltzmann-interpolations
  ☆11Updated 2 years ago
• noamroze / moser_flow
  ☆18Updated 3 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆50Updated 7 months ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆61Updated 8 months ago
• lamm-mit / MateriomicTransformer
  Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
  ☆16Updated 2 years ago
• necludov / wl-mechanics
  ☆32Updated last year
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 4 years ago
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆13Updated last year