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
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆100Updated this week
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆76Updated 2 years ago
• KinglittleQ / torch-batch-svd
  A 100x faster SVD for PyTorch⚡️
  ☆477Updated 2 years ago
• anucvml / ddn
  Deep Declarative Networks
  ☆246Updated 7 months ago
• google-deepmind / functa
  ☆158Updated last year
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 4 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆71Updated 5 years ago
• fwilliams / fml
  FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
  ☆36Updated 6 years ago
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆199Updated 4 years ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆150Updated last year
• QUVA-Lab / e2cnn_experiments
  Experiment for General E(2)-Equivariant Steerable CNNs
  ☆30Updated 4 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆650Updated 5 months ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 3 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated last year
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆257Updated last year
• jonbarron / tabilize
  Simple code for generating a color-coded latex table from raw data
  ☆196Updated 3 months ago
• aliutkus / torchsearchsorted
  Pytorch Custom CUDA kernel for searchsorted
  ☆137Updated last year
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆129Updated 2 years ago
• noamroze / moser_flow
  ☆17Updated 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
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆112Updated last year
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆88Updated last year
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆149Updated 3 years ago
• lucidrains / siren-pytorch
  Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
  ☆501Updated 2 years ago
• sprillo / softsort
  Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.
  ☆52Updated 2 years ago