Alternatives and similar repositories for Riemannian_Geometry_of_Deep_Generative_Models:

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

• franciscovargas / GP_Sinkhorn
  GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134
  ☆22Updated 2 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆30Updated 2 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆82Updated 3 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆50Updated 5 months ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 5 months ago
• necludov / wl-mechanics
  ☆31Updated 7 months ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 4 years ago
• necludov / jam
  Implementation of Action Matching
  ☆37Updated last year
• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆42Updated 2 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 3 years ago
• noamroze / moser_flow
  ☆16Updated 2 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆44Updated 2 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• kksniak / metric-flow-matching
  Official implementation of Metric Flow Matching (NeurIPS 2024)
  ☆26Updated 2 months ago
• akandykeller / SelfNormalizingFlows
  ☆67Updated 2 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆70Updated 2 years ago
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆21Updated 9 months ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆18Updated 2 years ago
• vdeborto / cdsb
  ☆22Updated 2 years ago
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆44Updated 2 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆73Updated 3 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆24Updated this week
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆52Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆33Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆115Updated last year
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆20Updated 4 months ago