Alternatives and similar repositories for DiffusionEMD

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

• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆22Updated last year
• KrishnaswamyLab / MIOFlow
  ☆30Updated 2 weeks ago
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆125Updated last year
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated last year
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 2 years ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆151Updated 3 years ago
• clarafy / conformal-for-design
  ☆29Updated 2 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆29Updated 2 years ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆20Updated 2 years ago
• gcorso / NeuroSEED
  Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
  ☆73Updated last year
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 5 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• welch-lab / MichiGAN
  Learning disentangled representations of single-cell data for high-quality generation
  ☆16Updated last year
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆19Updated last year
• hchau630 / LSC
  Code for "Disentangling images with Lie group transformations and sparse coding" (2023).
  ☆13Updated 4 years ago
• bunnech / phd_thesis
  PhD Thesis
  ☆36Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• Genentech / dcdfg
  ☆26Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆102Updated 2 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 5 years ago
• causalbench / causalbench
  ☆51Updated 3 months ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• Vincentx15 / Equi-RC
  Equivariant layers for RC-complement symmetry in DNA sequence data
  ☆11Updated 3 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆55Updated last month
• fedelopez77 / sympa
  Embedding graphs in symmetric spaces
  ☆30Updated 4 years ago
• KevinMoonLab / GRAE
  Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
  ☆24Updated last year
• jzhoulab / ddsm
  Dirichlet Diffusion Score Model for Biological Sequence Generation.
  ☆62Updated 7 months ago