Alternatives and similar repositories for implicit-sinkhorn

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

• fwilliams / scalable-pytorch-sinkhorn
  ☆154Updated 2 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 4 years ago
• KingJamesSong / FastDifferentiableMatSqrt
  ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
  ☆64Updated 7 months ago
• anucvml / ddn
  Deep Declarative Networks
  ☆245Updated 5 months ago
• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆29Updated 3 years ago
• osiriszjq / Rethinking-positional-encoding
  ☆89Updated last year
• fwilliams / fml
  FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
  ☆35Updated 6 years ago
• gortizji / inr_dictionaries
  Source code of "A structured dictionary perspective on implicit neural representations"
  ☆60Updated 3 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆68Updated 3 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆95Updated 4 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
• ltatzel / PyTorchHessianFree
  PyTorch implementation of the Hessian-free optimizer
  ☆36Updated last year
• stevenygd / PNF
  Polynomial Neural Fields for Subband Decomposition and Manipulation
  ☆58Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• osiriszjq / complex_encoding
  Trading Positional Complexity vs Deepness in Coordinate Networks
  ☆30Updated last year
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆35Updated 11 months ago
• facebookresearch / meta-ot
  Meta Optimal Transport
  ☆103Updated 2 years ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆75Updated 2 years ago
• chrischoy / HighDimConvNets
  [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
  ☆40Updated 3 years ago
• shubhtuls / PixelTransformer
  ☆41Updated 3 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.
  ☆98Updated 2 weeks ago
• rw435 / wreathProdNet
  ☆12Updated 4 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆99Updated last year
• VITA-Group / INSP
  [NeurIPS 2022] "Signal Processing for Implicit Neural Representations" by Dejia Xu*, Peihao Wang*, Yifan Jiang, Zhiwen Fan, Zhangyang Wan…
  ☆52Updated 2 years ago
• liruilong940607 / NeuralODE
  The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.
  ☆79Updated 4 years ago
• martius-lab / blackbox-deep-graph-matching
  Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
  ☆88Updated 4 years ago
• KingJamesSong / DifferentiableSVD
  A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…
  ☆78Updated last year
• autonomousvision / gta
  [ICLR'24] GTA: A Geometry-Aware Attention Mechanism for Multi-view Transformers
  ☆133Updated 2 months ago