iamalexkorotin / KernelNeuralOptimalTransport

Related projects ⓘ

Alternatives and complementary repositories for KernelNeuralOptimalTransport

• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆35Updated 8 months ago
• ngushchin / LightSB
  Pytorch implementation of "Light Schrödinger Bridge" (ICLR 2024)
  ☆42Updated 3 months ago
• SKholkin / LightSB-Matching
  Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation
  ☆34Updated 3 months ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆33Updated 3 weeks ago
• LituRout / OptimalTransportModeling
  The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
  ☆54Updated 2 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆20Updated 2 months ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆19Updated 8 months ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆120Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated 11 months ago
• stepelu / idbm-pytorch
  ☆11Updated last year
• milenagazdieva / ExtremalNeuralOptimalTransport
  PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)
  ☆16Updated 7 months ago
• cscarv / riemannian-metric-learning-ot
  ☆16Updated last year
• vdeborto / cdsb
  ☆21Updated 2 years ago
• machinestein / GNOT
  Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)
  ☆14Updated 2 months ago
• iamalexkorotin / Wasserstein2Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
  ☆35Updated 2 years ago
• KingJamesSong / PDETraversal
  ICML23 "Latent Traversals in Generative Models as Potential Flows"
  ☆26Updated last year
• IlyaTrofimov / MTopDiv
  [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds
  ☆14Updated 2 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆77Updated 6 months ago
• cognaclee / DPM-OT
  ☆37Updated last year
• KellyYutongHe / mpgd_pytorch
  The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)
  ☆23Updated 7 months ago
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆47Updated 11 months ago
• locuslab / deq-ddim
  ☆61Updated last year
• 1202kbs / DMCMC
  Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper
  ☆28Updated last year
• KamilDeja / joint_diffusion
  ☆11Updated last year
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆67Updated last year
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆17Updated 3 years ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆48Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆20Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆73Updated 3 months ago
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆59Updated last year