Alternatives and similar repositories for Large-Scale-Wasserstein-Gradient-Flows:

Users that are interested in Large-Scale-Wasserstein-Gradient-Flows are comparing it to the libraries listed below

• necludov / jam
  Implementation of Action Matching
  ☆37Updated last year
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆50Updated 5 months ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆20Updated 4 months ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆40Updated 4 years ago
• noamroze / moser_flow
  ☆16Updated 2 years ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆30Updated 5 months ago
• iamalexkorotin / Wasserstein2Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
  ☆37Updated 2 years ago
• necludov / wl-mechanics
  ☆31Updated 7 months ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆52Updated last year
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆44Updated 2 years ago
• Daulbaev / IRDM
  ☆11Updated 4 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆93Updated 8 months ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆73Updated 3 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆35Updated 10 months ago
• hmdolatabadi / LRS_NF
  [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
  ☆20Updated last year
• MichaelArbel / GeneralizedEBM
  ☆53Updated 5 months ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆11Updated 2 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆81Updated 3 years ago
• clear-nus / DGflow
  Pytorch implementation of DGflow (ICLR 2021).
  ☆16Updated 3 years ago
• DoronHav / WassersteinFlowMatching
  ☆18Updated last month
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆18Updated 2 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆82Updated 3 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆14Updated 2 months ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• DanieleGammelli / pyro-torch-normalizing-flows
  Implementations of Normalizing Flows in Pytorch/Pyro
  ☆19Updated 4 years ago
• vdeborto / cdsb
  ☆22Updated 2 years ago