Alternatives and similar repositories for scalable-pytorch-sinkhorn

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

• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆108Updated last week
• marvin-eisenberger / implicit-sinkhorn
  ☆74Updated 2 years ago
• google-deepmind / functa
  ☆158Updated last year
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆77Updated 3 years ago
• anucvml / ddn
  Deep Declarative Networks
  ☆250Updated 2 months ago
• KinglittleQ / torch-batch-svd
  A 100x faster SVD for PyTorch⚡️
  ☆483Updated 3 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆79Updated 4 years ago
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated last year
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆131Updated 2 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆72Updated 5 years ago
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆215Updated 2 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆152Updated 2 years ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆207Updated 2 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆125Updated 2 years ago
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆200Updated 4 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆669Updated 8 months ago
• jonbarron / tabilize
  Simple code for generating a color-coded latex table from raw data
  ☆209Updated 7 months ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆69Updated 2 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆277Updated last year
• fwilliams / fml
  FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
  ☆36Updated 6 years ago
• janisgp / go_with_the_flows
  Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"
  ☆12Updated 4 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆92Updated last year
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆90Updated 5 years ago
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆151Updated 4 years ago
• facebookresearch / meta-ot
  Meta Optimal Transport
  ☆105Updated 2 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆51Updated 5 years ago