Alternatives and similar repositories for scalable-pytorch-sinkhorn:

Users that are interested in scalable-pytorch-sinkhorn are comparing it to the libraries listed below

• anucvml / ddn
  Deep Declarative Networks
  ☆242Updated last month
• marvin-eisenberger / implicit-sinkhorn
  ☆70Updated 2 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆205Updated last year
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆90Updated 2 years ago
• google-deepmind / functa
  ☆154Updated 7 months ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆108Updated last year
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆69Updated 4 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆88Updated last year
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆122Updated last year
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆89Updated 4 years ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆74Updated 2 years ago
• mfinzi / LieConv
  ☆265Updated last year
• QUVA-Lab / e2cnn_experiments
  Experiment for General E(2)-Equivariant Steerable CNNs
  ☆30Updated 4 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆199Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 3 years ago
• dwromero / g_selfatt
  Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…
  ☆29Updated 4 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆140Updated 3 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆148Updated last year
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆40Updated last month
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆145Updated last month
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆50Updated 7 months ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆618Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆63Updated last year
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆28Updated last year
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆58Updated 2 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆82Updated last year
• KinglittleQ / torch-batch-svd
  A 100x faster SVD for PyTorch⚡️
  ☆463Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆88Updated last year
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago