Alternatives and similar repositories for scalable-pytorch-sinkhorn

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

• marvin-eisenberger / implicit-sinkhorn
  ☆73Updated 2 years ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆75Updated 2 years ago
• anucvml / ddn
  Deep Declarative Networks
  ☆246Updated 5 months ago
• google-deepmind / functa
  ☆158Updated 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.
  ☆100Updated last week
• KinglittleQ / torch-batch-svd
  A 100x faster SVD for PyTorch⚡️
  ☆476Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 4 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆642Updated 3 months ago
• QUVA-Lab / e2cnn_experiments
  Experiment for General E(2)-Equivariant Steerable CNNs
  ☆30Updated 4 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated 11 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆247Updated last year
• fwilliams / fml
  FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
  ☆36Updated 6 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆102Updated last year
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆70Updated 4 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆150Updated last year
• mfinzi / LieConv
  ☆274Updated 2 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆147Updated 3 years ago
• janisgp / go_with_the_flows
  Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"
  ☆12Updated 3 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆114Updated last year
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆49Updated 5 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆128Updated last year
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆198Updated 4 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆258Updated 2 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆209Updated 2 years ago
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆206Updated last year
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆88Updated last year
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago