KrishnaswamyLab / DiffusionEMD

Related projects ⓘ

Alternatives and complementary repositories for DiffusionEMD

• KrishnaswamyLab / MIOFlow
  ☆21Updated last month
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆21Updated 11 months ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆52Updated 6 months ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• cscarv / riemannian-metric-learning-ot
  ☆16Updated last year
• KrishnaswamyLab / TrajectoryNet
  TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
  ☆100Updated 2 months ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆23Updated last year
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆13Updated last year
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 4 years ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆19Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆30Updated 3 years ago
• clarafy / conformal-for-design
  ☆29Updated 2 years ago
• fedelopez77 / sympa
  Embedding graphs in symmetric spaces
  ☆28Updated 3 years ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆16Updated last year
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• ioanabica / DiffVAE
  Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…
  ☆18Updated 4 years ago
• dpeerlab / WassersteinWormhole
  Transformer Based Embeddings of Wasserstein Distance
  ☆13Updated this week
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆23Updated 2 months ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆18Updated last year
• iamalexkorotin / Wasserstein2Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
  ☆35Updated 2 years ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 4 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 4 months ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆37Updated last year
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆43Updated last year
• zsteve / StationaryOT
  Dynamic inference from single-cell snapshots by optimal transport
  ☆15Updated 7 months ago
• samirchowdhury / HyperCOT
  Code for computing Hypergraph Co-Optimal Transport distances
  ☆15Updated last year
• bunnech / phd_thesis
  PhD Thesis
  ☆27Updated last year
• jzhoulab / ddsm
  Dirichlet Diffusion Score Model for Biological Sequence Generation.
  ☆45Updated 6 months ago