Alternatives and similar repositories for riemannian-diffusion-mixture

Users that are interested in riemannian-diffusion-mixture are comparing it to the libraries listed below

• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• jw9730 / random-walk
  [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
  ☆17Updated 10 months ago
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆17Updated last year
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆35Updated last year
• malbergo / leaps
  ☆17Updated 7 months ago
• sc782 / SBM-Transformer
  ☆14Updated 2 years ago
• tufts-ml / G2PT
  Graph generative pre-trained transformer
  ☆19Updated 7 months ago
• mlvlab / CoBO
  Official PyTorch Implementation for Advancing Bayesian Optimization via Learning Correlated Latent Space (CoBO)
  ☆18Updated 8 months ago
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆102Updated last year
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆69Updated 10 months ago
• hsjang0 / LED-GFN
  Learning energy decompositions for partial inference in GFlowNets
  ☆16Updated last year
• congliuUvA / Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks
  The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024
  ☆11Updated last year
• HannesStark / dirichlet-flow-matching
  ☆128Updated last year
• ccr-cheng / statistical-flow-matching
  Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
  ☆44Updated last year
• yuanqing-wang / rum
  Random walk unit with memory
  ☆22Updated last year
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆65Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• toenshoff / LRGB
  ☆24Updated last year
• yunhuijang / GEEL
  A Simple and Scalable Representation for Graph Generation (ICLR 2024)
  ☆21Updated last year
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆117Updated last year
• DoronHav / WassersteinFlowMatching
  ☆36Updated last week
• take-koshizuka / NLSB
  ☆21Updated 11 months ago
• gnobitab / ConstrainedDiffusionBridge
  ☆14Updated 2 years ago
• kkapusniak / metric-flow-matching
  Official implementation of Metric Flow Matching (NeurIPS 2024)
  ☆57Updated 4 months ago
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated 2 years ago
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker (ICLR 2025)
  ☆38Updated 6 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• ozekri / SEPO
  Code for the paper: "Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods"
  ☆31Updated 7 months ago
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆19Updated 11 months ago